Pair had already been working together on generative AI tools for Maya

Autodesk acquires Wonder Dynamics | News | Broadcast

Wonder Dynamics believes this will &quot;push the boundaries of ethical AI and emerging technology.&quot;

Autodesk Acquires Wonder Studio Creator

<strong>Autodesk</strong> — the 3D tools behemoth — has acquired Wonder Dynamics, a startup that lets creators quickly and easily make complex characters and visual

Autodesk acquires AI-powered VFX startup Wonder Dynamics | TechCrunch

We talk exclusively to the founders of Wonder Dynamics about their sale to <strong>Autodesk</strong>, and what it means for users.

Autodesk buys Wonder Dynamics - fxguide

It’s a testament to how odd the chip market is right now that personal-computer demand is actually a source of strength.PC sales have been in a downspin since early last year, following two years of pandemic-induced growth.

Chip Makers’ PC Boost Not Built to Last

The Design and Make Conference takes place November 13-15 in Las Vegas, and the company invites artists and visionaries to attend with free digital pass. For three decades,  the Autodesk University (AU) has been at the heart of Design and Make industries.

Autodesk University 2023: get your FREE digital pass

People’s Leasing Company PLC (PLC) is not only the market leader in Sri Lanka’s non-banking financial services (NBFS) space but is also at the forefront of the digital transformation in the sector. Further solidifying this reputation,

PLC Emerges as Best Digital Process Enabler at NQBSA Out-competing Banks and Others

Machine learning operations startup Domino Data Lab Inc. today announced a major update to its artificial intelligence development platform that it says will make it easier for companies to build generative AI models and other applications.

Domino Data bids to fast-track generative AI model development with project templates

Companies introduce Siemens Industrial Copilot, a generative AI-powered assistant, designed to enhance human-machine collaboration and boost productivity. Companies will work together to build additional copilots for manufacturing,

Siemens and Microsoft partner to drive cross-industry AI adoption

Infurnia Technologies has developed an all-in-one cloud-native design software for the architecture and interior design industry. The company provides CAD (Computer-Aided Design) systems with easily-generatable renders,

Architecture design software startup Infurnia Technologies raises $1.2 million from Jaipur Rugs’ Yogesh Choudhary, other angel investors

AUTODESK

autodesk

What is serverless? Serverless is a cloud computing model that was first introduced by AWS in 2014 (AWS Lambda is the market leader to this day). It abstracts away most of the server operations to the cloud provider so developers can only focus on writing code and shipping new features. Serverless adoption is rapidly growing and it's mostly due to its promise of providing significant cost and time efficiency for technology companies. For new startups, just starting to build their first product, it's a no-brainer to build it on serverless. It's very cheap and quick to get started. You don't have to have that much knowledge about the backend processes, since the cloud providers handle all that and you can just focus on building your product and it's functionality. The go-to-market time is much shorter than with previous computing models and it scales automatically when you get successful and have tons of users pouring on your site. See, a no-brainer! With already established companies, it's harder to switch to serverless because of the legacy systems and processes that they have in place, but I'm here to argue that it might be worth the pain! Big companies = big savings For established companies (depending on their specific use case), serverless architecture gives the opportunity to save money that was previously paid for hosting idle code. With serverless, you only pay for it when your code is executed. The bigger the company and the more complex its technology has -- the bigger the potential savings can be. FINRA's experience with cost reduction: "Using AWS Lambda, we've increased cost efficiency by a factor of two. We only pay for what we use, and we don't have to manage on-premises server infrastructure." For new startups these costs can be trivial, but for some companies it can be a make-or-break question to get these costs down. For example, some companies have reported just by switching to serverless. close to 90% of cost reductions A promise of reliability and availability to the users Slightly bigger companies usually already have an established user base that is also rapidly growing. It means that they have the One of the nastiest things that can happen (and very often occurs in growing technology companies) is that your service gets a sudden peak in traffic -- either it's a really successful marketing campaign that just launched or some other reason that spikes the usage of your product very suddenly -- and your site can't handle that extra load. As a result, your customers get a bad experience with your product at the most unfortunate time -- when you are finally hitting it big. responsibility to keep the service reliable at all times. Why serverless is so useful -- instead of constantly being ready for the potential spike and paying for the extra servers, you can let Now the bigger influx of users won't just be a happy moment for your marketing team, but the engineers can also sleep well at night. cloud providers worry about automatic scaling. Square Enix experience with automatic scaling: At a New Year's Eve event after migration to AWS Lambda, screenshots were taken at a rate of more than 6,000 per minute. "AWS Lambda had a striking effect. Image processing that used to take several hours was finished in a little over 10 seconds." Saving money and time because less server ops is needed In established companies that have been around for some years, you might have lots of people working only on provisioning and scaling servers. Once this is "outsourced" to cloud providers, these people can restructure their work and focus on more business-critical tasks. Depending on the size of the company and the structure of the development team, it can be a huge benefit that not only saves time and money, but can also make hiring for some positions easier. Alt/S experience with reducing server ops: Zero time is now spent deploying or maintaining server instances, as Sportify's entire backend platform is based on AWS Lambda. The technical team will focus on the business logic Serverless computing shortens the time from code development to putting that code in production. This puts the focus of the development team strictly on writing code that benefits the users or follows some specific business logic and goals. Since serverless is just another layer of abstraction in cloud computing, its main benefit is to allow dev teams to write and ship better code, better functions, and therefore better products. It's the rocket fuel for future innovations and bigger companies can't afford to stop innovating. Benchling experience with better business focus: Instead of worrying about the solution architecture and managing servers, they are freed up to focus on new projects and initiatives that can help grow the company. Increased agility and more efficient dev teams It's commonly known that as companies grow, the execution speed goes down and there are more processes and more bureaucracy involved with every task. Since it's very easy and quick to launch new functionality (and also to scrap it) with serverless, established companies can reverse this process and bring back the experimental feature launching speed that small startups enjoy. Autodesk experience with increased agility: Building our product (Tailor) on a serverless architecture made it easy to modularize it for easier sharing with other divisions, or as an open-source package with non-Autodesk entities that have a use for it. Why some companies are still hesitating with the switch? Serverless technology is not in its infancy anymore and yet it's not fully mature either. ...At least that's what the hesitant-to-jump-on-new-technology big companies are saying. Yaron Haviv, founder and CTO of iguaz.io, says: "The interesting part is that by abstracting away much of the Docker/Kubernetes complexity, serverless can be adopted faster and more easily, even though it's the newer tech." There are also some unique challenges that come with this new computing paradigm -- slow cold starts, short-lived functions, a closed set of triggers, and a lack of observability and debugging options. There are workarounds and viable solutions for solving these though thanks to a growing community that works on documenting use cases and best practices. One of the biggest problems -- lack of observability for the distributed serverless systems -- is solved by several newly emerged third-party tools, the most notable one being Dashbird. It gathers CloudWatch logs along with X-Ray and API Gateway data and gives a general overview of all your functions -- along with error alerts, tracing, live tailing, and much more. Conclusion Despite being careful about jumping on another bandwagon too quickly, established companies have a lot to win from migrating to serverless. Since serverless adoption is already skyrocketing, big businesses should not wait too long to get on board, because this new paradigm shift favors quick shipping and constant innovation -- and that's exactly what might give some new and hungry startups the edge to go against dinosaurs and beat them? Also published here: https://dashbird.io/blog/serverless-business-benefits-for-big-companies/

How Migrating to Serverless Gave Square Enix, Autodesk, and FINRA Big Business Benefits

Fast Builds, Lasting Impact “For the past several years, I have worked as a full-stack developer in the construction sector, creating numerous prototype experiments based on the latest industry trends. These projects have ranged from generative architecture apps to 3D model visualizations with real-time site tracking, and AI features for analyzing 3D data.” As a developer, I enjoy experimenting with new technologies to bring innovative tools to the construction industry. I often prefer to build things quickly, to retain the excitement and charm of the idea while keeping the core concept intact. However, there always comes a point when a playful prototype must evolve into a reliable tool, and no matter how different the user experiences of each app are, there are common patterns I find myself implementing repeatedly. Whether the project involves designing buildings, managing construction processes, or experimenting with AI solutions for generating architectural forms, similar tools are always needed. Typically, it starts with a 3D viewer to facilitate communication around a data model (comments, media, issues, alignment with 2D drawings). Next comes a dashboard to estimate various metrics based on the 3D data, and finally, a delivery workspace to tailor dashboards for different audiences. The Challenges of Performance and Quality In many digital projects, rapid prototyping can lead to impressive outcomes. However, working in the construction sector means dealing with large volumes of data, making performance a key factor. To retain the joy from either the final product or just the experiments, we must ensure performance is optimized. When transitioning from experimentation to a mature, professional application, performance issues, bugs, and inconsistencies must be resolved to ensure a smooth experience. The Core of MDLR: Three Main Entities Our platform revolves around three main entities that work together to simplify project management: the 3D Viewer, Insight Whiteboard, and Interactive Dashboards. The 3D Viewer: Provides advanced feedback tools, including comments, 2D annotations, pinpoints, media, data color visualization, and real-time collaboration. It connects to Supabase for schema benefits and real-time updates, and includes tools for analyzing data using the ChatGPT API. Currently, the core of the 3D Viewer is based on Forge Viewer, as many clients store their models there. We build on the best that Autodesk Platform Services (APS) offers rather than reinventing the wheel. The Dashboards: Assemble various charts to analyze data from the 3D Viewer. We aim to simplify the process, allowing users to quickly assemble dashboards on the fly. This entity also supports real-time collaboration and utilizes the ChatGPT API for AI-generated insights on how to tailor dashboards for different roles. We use tools like React-Flow and AntV/G2 for optimal performance.


The Whiteboards: Help define dashboard delivery to specific user roles, whether they are clients or project members like managers, designers, or contractors. It leverages React-Flow to visualize the entire data flow, from the 3D Viewer to final delivery. Open-Source and Community Engagement By making MDLR open-source, we’re inviting the construction community to take part in its growth. Users can contribute ideas, report issues, and even implement features, building a platform that evolves with industry needs. Open-source enhances transparency and empowers users to customize MDLR to fit their exact requirements. Our main goal is to create tools that serve enterprise needs across multiple construction projects while providing clients with a customized app experience. By making MDLR open-source, we aim to reduce the need for writing bespoke solutions for individual cases, which often leads to low-quality code. Instead, we want our open-source foundation to address these varied requirements effectively. Conclusion: Join Us in Building the Future of Project Management We’re on a mission to make project management more enjoyable and collaborative in the construction industry. With MDLR as an open-source project, we invite you to join our journey. Whether you’re an architect, project manager, developer, or designer, there’s a place for you in our community. Explore, contribute, and help us redefine what project management can be in the construction sector. Together, we can create a tool that not only meets the industry’s demands but does so in a way that’s fun, efficient, and built to last. If you enjoyed this article, visit our website to learn more about MDLR and join our growing community. With love, MDLR Team Fast Builds, Lasting Impact “For the past several years, I have worked as a full-stack developer in the construction sector, creating numerous prototype experiments based on the latest industry trends. These projects have ranged from generative architecture apps to 3D model visualizations with real-time site tracking, and AI features for analyzing 3D data.” “For the past several years, I have worked as a full-stack developer in the construction sector, creating numerous prototype experiments based on the latest industry trends. These projects have ranged from generative architecture apps to 3D model visualizations with real-time site tracking, and AI features for analyzing 3D data.” As a developer, I enjoy experimenting with new technologies to bring innovative tools to the construction industry. I often prefer to build things quickly, to retain the excitement and charm of the idea while keeping the core concept intact. However, there always comes a point when a playful prototype must evolve into a reliable tool, and no matter how different the user experiences of each app are, there are common patterns I find myself implementing repeatedly. Whether the project involves designing buildings, managing construction processes, or experimenting with AI solutions for generating architectural forms, similar tools are always needed. Typically, it starts with a 3D viewer to facilitate communication around a data model (comments, media, issues, alignment with 2D drawings). Next comes a dashboard to estimate various metrics based on the 3D data, and finally, a delivery workspace to tailor dashboards for different audiences. The Challenges of Performance and Quality In many digital projects, rapid prototyping can lead to impressive outcomes. However, working in the construction sector means dealing with large volumes of data, making performance a key factor. To retain the joy from either the final product or just the experiments, we must ensure performance is optimized. When transitioning from experimentation to a mature, professional application, performance issues, bugs, and inconsistencies must be resolved to ensure a smooth experience. The Core of MDLR: Three Main Entities Our platform revolves around three main entities that work together to simplify project management: the 3D Viewer, Insight Whiteboard, and Interactive Dashboards. The 3D Viewer: Provides advanced feedback tools, including comments, 2D annotations, pinpoints, media, data color visualization, and real-time collaboration. It connects to Supabase for schema benefits and real-time updates, and includes tools for analyzing data using the ChatGPT API. Currently, the core of the 3D Viewer is based on Forge Viewer, as many clients store their models there. We build on the best that Autodesk Platform Services (APS) offers rather than reinventing the wheel. The 3D Viewer: Provides advanced feedback tools, including comments, 2D annotations, pinpoints, media, data color visualization, and real-time collaboration. It connects to Supabase for schema benefits and real-time updates, and includes tools for analyzing data using the ChatGPT API. Currently, the core of the 3D Viewer is based on Forge Viewer, as many clients store their models there. We build on the best that Autodesk Platform Services (APS) offers rather than reinventing the wheel. The 3D Viewer: Provides advanced feedback tools, including comments, 2D annotations, pinpoints, media, data color visualization, and real-time collaboration. It connects to Supabase for schema benefits and real-time updates, and includes tools for analyzing data using the ChatGPT API . Currently, the core of the 3D Viewer is based on Forge Viewer, as many clients store their models there. We build on the best that Autodesk Platform Services (APS) offers rather than reinventing the wheel. The 3D Viewer: Supabase ChatGPT API The Dashboards: Assemble various charts to analyze data from the 3D Viewer. We aim to simplify the process, allowing users to quickly assemble dashboards on the fly. This entity also supports real-time collaboration and utilizes the ChatGPT API for AI-generated insights on how to tailor dashboards for different roles. We use tools like React-Flow and AntV/G2 for optimal performance. The Whiteboards: Help define dashboard delivery to specific user roles, whether they are clients or project members like managers, designers, or contractors. It leverages React-Flow to visualize the entire data flow, from the 3D Viewer to final delivery. The Dashboards: Assemble various charts to analyze data from the 3D Viewer. We aim to simplify the process, allowing users to quickly assemble dashboards on the fly. This entity also supports real-time collaboration and utilizes the ChatGPT API for AI-generated insights on how to tailor dashboards for different roles. We use tools like React-Flow and AntV/G2 for optimal performance. The Dashboards: Assemble various charts to analyze data from the 3D Viewer. We aim to simplify the process, allowing users to quickly assemble dashboards on the fly. This entity also supports real-time collaboration and utilizes the ChatGPT API for AI-generated insights on how to tailor dashboards for different roles. We use tools like React-Flow and AntV/G2 for optimal performance. The Dashboards: React-Flow AntV/G2 The Whiteboards: Help define dashboard delivery to specific user roles, whether they are clients or project members like managers, designers, or contractors. It leverages React-Flow to visualize the entire data flow, from the 3D Viewer to final delivery. The Whiteboards: Help define dashboard delivery to specific user roles, whether they are clients or project members like managers, designers, or contractors. It leverages React-Flow to visualize the entire data flow, from the 3D Viewer to final delivery. The Whiteboards: Open-Source and Community Engagement By making MDLR open-source, we’re inviting the construction community to take part in its growth. Users can contribute ideas, report issues, and even implement features, building a platform that evolves with industry needs. Open-source enhances transparency and empowers users to customize MDLR to fit their exact requirements. Our main goal is to create tools that serve enterprise needs across multiple construction projects while providing clients with a customized app experience. By making MDLR open-source, we aim to reduce the need for writing bespoke solutions for individual cases, which often leads to low-quality code. Instead, we want our open-source foundation to address these varied requirements effectively. Conclusion: Join Us in Building the Future of Project Management We’re on a mission to make project management more enjoyable and collaborative in the construction industry. With MDLR as an open-source project, we invite you to join our journey. Whether you’re an architect, project manager, developer, or designer, there’s a place for you in our community. Explore, contribute, and help us redefine what project management can be in the construction sector. Together, we can create a tool that not only meets the industry’s demands but does so in a way that’s fun, efficient, and built to last. If you enjoyed this article, visit our website to learn more about MDLR and join our growing community. website website With love, MDLR Team

From Playful Ideas to Powerful Tools: Building with Passion for Construction

GraphQL is a Misunderstood Framework

What Is WebAssembly? An Introduction

By Amanda Kavanagh While tech sectors like healthcare, climate tech and cybersecurity are urgently focused on retraining in AI, it’s not quite as important for other programmers. That’s according to Christian Rebernik, co-chief executive and co-founder of Tomorrow University of Applied Sciences, who reckons you don’t need to throw the baby out of the bath water, and ditch your expertise for AI. In an interview with the Financial Times, he makes this recommendation: “You can secure yourself, if you are a top-tier expert who can help teach AI in your field . . . [you can] earn from training models on data set created by you.” 3 high-paying roles to apply for today DevOps Engineer, Accenture Federal Services, Chantilly ($76,000 - $144,000)
Principal DevOps Engineer, Autodesk, TX ($141,400 - $228,800)
Staff/Sr. Staff DevOps Engineer, SciTec, Boulder ($93,000 - $137,000) The key is deep knowledge. As subject matter expertise really matters when it comes to creating the best prompts, once you’ve an understanding of prompt engineering, and experiment with AI tools in your day-to-day life, that may be enough for now. This frees programmers up to focus on the languages making waves in the coding community; here we’ll look at three of the newest and well-paid languages of the moment. Zig Created by Andrew Kelley in 2015, Zig is pitched as a general purpose language and as a modern alternative to C, but it’s still relatively obscure. In a Stack Overflow survey of 89,184 software developers across 185 countries, just 0.83% reported proficiency in Zig. However, the same survey also found that Zig developers command the highest median salaries on average. Median earnings of $103,000 may be pocket change to some in highly-paid AI roles, and it won’t put you in the top 10% of earners in the U.S. – you’ll need to be on $167,639 for that – but it’s the only programming language that hits six figures in the Stack Overflow survey. The next closest is Erlang ($99,492), F# ($99,492), Ruby ($98,522), and in fourth place, the former 2022 leader, Clojure ($96,381). Comparatively, the bottom four are: Visual Basic (.Net) with $65,000 median pay, MATLAB with $61,735, PHP at $58,899, and Dart, which commands the least at $55,862. Because Zig is compatible with C codebases, it may be readily incorporated with current projects, making it a solid option for systems development, embedded systems, game design, and scripting. Non-profit Zig boasts a vibrant contributor community where developers are invited to utilize it for personal open-source projects, allowing real-world problems to surface and be resolved in real-time. Its rarity makes it something of a risk, as you may have to plug and play, figuring out mistakes as you go. Depending on the pace in your current role, this may or may not be possible. But clearly, there can be salary gains if you can find a company that utilizes and values Zig. Finch Finch is the latest programming language from MIT, which was announced earlier this year. It aims to resolve the challenges associated with computing over-structured arrays. Finch does this by providing a programming model that unifies control flow and diverse data structures into a single representation that allows for co-optimization. Specifically, it automates the control flow to the data, freeing up performance engineers to experiment with many algorithms. MIT says that Finch is, to the best of its knowledge, the first programming language to support affine indexing or scatter/gather of sparse or structured operands, as well as if-conditions, early breaks, and multiple left hand sides over structured data. Early-adopters are praising the time-saving automatic specialization and smooth control flow, particularly in fields like image processing and scientific computing, where structured data is essential. Being a complete newbie, Finch doesn’t have a vast library of tools and frameworks to refer to, meaning it’s not really suitable for large-scale projects just yet. But if you’re a keen early-adopter, Finch is one to watch, and as the community expands, it may become a very valuable tool in the near future. Swift Apple’s Swift has been knocking around for a decade, but its next iteration – Swift 6 – is slated for release later this year. This is the first major update since Swift 5, five long years ago. This release expands upon the async/await, existentials, and macros capabilities that were first included in the Swift 5.x series. Apple director of languages and runtimes, Ted Kremenek says, “Swift’s safety, speed, and approachability, combined with built-in C and C++ interoperability, mean Swift is the best choice to succeed C++.” Meanwhile, forums and blogs are already advising programmers on how to migrate projects across, which is expected to be tricky for legacy codebases. 3 great tech jobs hiring now DevOps Engineer - Sports Technology, Electronic Arts, Orlando
Sr. DevOps Engineer - Store Frontend, hims & hers, San Francisco ($155,000 - $175,000)
Senior Engineer Fullstack (Java), GTT LLC, Chevy Chase The good news is there is clear demand for Swift programmers. According to jobs site Indeed, iOS developers and senior mobile developers are sought after in major companies all over the world, including Accenture, DataAnnotation, and Netflix. It’s widely-accepted that for a long, productive, and well-paid career in programming, developers must always move with the times. Ideally, your existing role will allow time for experimentation and upskilling, enabling you to explore these languages and integrate them into your projects. But if upskilling isn’t a priority in your workplace, it could be time to look for something new. Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today By Amanda Kavanagh While tech sectors like healthcare, climate tech and cybersecurity are urgently focused on retraining in AI, it’s not quite as important for other programmers. That’s according to Christian Rebernik, co-chief executive and co-founder of Tomorrow University of Applied Sciences, who reckons you don’t need to throw the baby out of the bath water, and ditch your expertise for AI. In an interview with the Financial Times , he makes this recommendation: “You can secure yourself, if you are a top-tier expert who can help teach AI in your field . . . [you can] earn from training models on data set created by you.” Financial Times Financial Times 3 high-paying roles to apply for today 3 high-paying roles to apply for today DevOps Engineer, Accenture Federal Services, Chantilly ($76,000 - $144,000) Principal DevOps Engineer, Autodesk, TX ($141,400 - $228,800) Staff/Sr. Staff DevOps Engineer, SciTec, Boulder ($93,000 - $137,000) DevOps Engineer, Accenture Federal Services, Chantilly ($76,000 - $144,000) DevOps Engineer, Accenture Federal Services, Chantilly ($76,000 - $144,000) DevOps Engineer, Accenture Federal Services, Chantilly ($76,000 - $144,000) Principal DevOps Engineer, Autodesk, TX ($141,400 - $228,800) Principal DevOps Engineer, Autodesk, TX ($141,400 - $228,800) Principal DevOps Engineer, Autodesk, TX ($141,400 - $228,800) Staff/Sr. Staff DevOps Engineer, SciTec, Boulder ($93,000 - $137,000) Staff/Sr. Staff DevOps Engineer, SciTec, Boulder ($93,000 - $137,000) Staff/Sr. Staff DevOps Engineer, SciTec, Boulder ($93,000 - $137,000) The key is deep knowledge. As subject matter expertise really matters when it comes to creating the best prompts, once you’ve an understanding of prompt engineering, and experiment with AI tools in your day-to-day life, that may be enough for now. This frees programmers up to focus on the languages making waves in the coding community; here we’ll look at three of the newest and well-paid languages of the moment. Zig Zig Created by Andrew Kelley in 2015, Zig is pitched as a general purpose language and as a modern alternative to C, but it’s still relatively obscure. In a Stack Overflow survey of 89,184 software developers across 185 countries, just 0.83% reported proficiency in Zig. Stack Overflow survey Stack Overflow survey However, the same survey also found that Zig developers command the highest median salaries on average. Median earnings of $103,000 may be pocket change to some in highly-paid AI roles , and it won’t put you in the top 10% of earners in the U.S. – you’ll need to be on $167,639 for that – but it’s the only programming language that hits six figures in the Stack Overflow survey. highly-paid AI roles highly-paid AI roles The next closest is Erlang ($99,492), F# ($99,492), Ruby ($98,522), and in fourth place, the former 2022 leader, Clojure ($96,381). Comparatively, the bottom four are: Visual Basic (.Net) with $65,000 median pay, MATLAB with $61,735, PHP at $58,899, and Dart, which commands the least at $55,862. Because Zig is compatible with C codebases, it may be readily incorporated with current projects, making it a solid option for systems development, embedded systems, game design, and scripting. Non-profit Zig boasts a vibrant contributor community where developers are invited to utilize it for personal open-source projects, allowing real-world problems to surface and be resolved in real-time. vibrant contributor community vibrant contributor community Its rarity makes it something of a risk, as you may have to plug and play, figuring out mistakes as you go. Depending on the pace in your current role, this may or may not be possible. But clearly, there can be salary gains if you can find a company that utilizes and values Zig. company company Finch Finch Finch is the latest programming language from MIT, which was announced earlier this year. It aims to resolve the challenges associated with computing over-structured arrays. Finch Finch Finch does this by providing a programming model that unifies control flow and diverse data structures into a single representation that allows for co-optimization. Specifically, it automates the control flow to the data, freeing up performance engineers to experiment with many algorithms. MIT says that Finch is, to the best of its knowledge, the first programming language to support affine indexing or scatter/gather of sparse or structured operands, as well as if-conditions, early breaks, and multiple left hand sides over structured data. Early-adopters are praising the time-saving automatic specialization and smooth control flow, particularly in fields like image processing and scientific computing, where structured data is essential. Being a complete newbie, Finch doesn’t have a vast library of tools and frameworks to refer to, meaning it’s not really suitable for large-scale projects just yet. But if you’re a keen early-adopter, Finch is one to watch, and as the community expands, it may become a very valuable tool in the near future. Swift Apple’s Swift has been knocking around for a decade, but its next iteration – Swift 6 – is slated for release later this year. This is the first major update since Swift 5, five long years ago. This release expands upon the async/await, existentials, and macros capabilities that were first included in the Swift 5.x series. Apple director of languages and runtimes, Ted Kremenek says, “Swift’s safety, speed, and approachability, combined with built-in C and C++ interoperability, mean Swift is the best choice to succeed C++.” Meanwhile, forums and blogs are already advising programmers on how to migrate projects across, which is expected to be tricky for legacy codebases. 3 great tech jobs hiring now DevOps Engineer - Sports Technology, Electronic Arts, Orlando Sr. DevOps Engineer - Store Frontend, hims & hers, San Francisco ($155,000 - $175,000) Senior Engineer Fullstack (Java), GTT LLC, Chevy Chase DevOps Engineer - Sports Technology, Electronic Arts, Orlando DevOps Engineer - Sports Technology, Electronic Arts, Orlando DevOps Engineer - Sports Technology, Electronic Arts, Orlando Sr. DevOps Engineer - Store Frontend, hims & hers, San Francisco ($155,000 - $175,000) Sr. DevOps Engineer - Store Frontend, hims & hers, San Francisco ($155,000 - $175,000) Sr. DevOps Engineer - Store Frontend, hims & hers, San Francisco ($155,000 - $175,000) Senior Engineer Fullstack (Java), GTT LLC, Chevy Chase Senior Engineer Fullstack (Java), GTT LLC, Chevy Chase Senior Engineer Fullstack (Java), GTT LLC, Chevy Chase The good news is there is clear demand for Swift programmers. According to jobs site Indeed, iOS developers and senior mobile developers are sought after in major companies all over the world, including Accenture, DataAnnotation, and Netflix. It’s widely-accepted that for a long, productive, and well-paid career in programming, developers must always move with the times. Ideally, your existing role will allow time for experimentation and upskilling, enabling you to explore these languages and integrate them into your projects. But if upskilling isn’t a priority in your workplace, it could be time to look for something new. Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today

3 High Paying Programming Languages Jobs On Developers’ Watchlists

ডেভেলপারদের ওয়াচলিস্টে 3টি উচ্চ অর্থপ্রদানকারী প্রোগ্রামিং ভাষার চাকরি

3 gut bezahlte Jobs im Bereich Programmiersprachen auf den Beobachtungslisten der Entwickler

3 trabajos de lenguajes de programación bien remunerados en las listas de vigilancia de desarrolladores

3 emplois bien rémunérés dans les langages de programmation sur les listes de surveillance des développeurs

डेवलपर्स की वॉचलिस्ट पर 3 उच्च भुगतान वाली प्रोग्रामिंग भाषा नौकरियां

開発者の注目リストに載っている高収入のプログラミング言語の仕事 3 つ

개발자 관심 목록에 있는 고임금 프로그래밍 언어 직업 3가지

3 empregos em linguagens de programação com altos salários nas listas de observação dos desenvolvedores

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开发人员关注的 3 个高薪编程语言职位

These days, everybody is talking about AI. According to trends platform Exploding Topics, this year, there are around 70,000 AI companies worldwide compared to 2023’s 67,300. One in four is based in the U.S., and global AI funding grew by a factor of seven between 2015 and 2019. Take up is accelerating as well: there are over 115 million companies currently using AI and around 42% of companies are exploring the use of AI. As a result, it isn’t much of a surprise to learn that there is a talent scramble underway. According to sources, Mark Zuckerberg has written personal emails to researchers at Google’s DeepMind, in an effort to convince them to come and work at Meta. 3 AI roles to apply for today

Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000)
AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000)
AI Engineer, Vorto, Denver ($120,000-$180,000) The company is also reported as making job offers to suitable candidates without interviews, and it has stepped back on a policy of not offering higher salaries to existing staff who have job offers from competitors. When it comes to what you can earn if you’ve got the right AI skills, reports indicate that Meta pays AI researchers up to $2 million, and OpenAI has even deeper pockets, offering salaries in the $5 million to $10 million range. Not bad. And while job search site Indeed has found that the number of job postings for software roles has tapered off, there has been a 15.7% increase in the number of AI-related postings. According to Pluralsight’s 2024 Technical Skills Report, interest in developing AI/ML skills has increased 11% from last year among technologists, and a new Microsoft report reveals that two-thirds of leaders wouldn’t hire someone without AI skills. This all presents an opportunity for talented workers––along with a challenge for companies, as 43% of HR managers said in 2023 that their companies would face a skills gap. A recent survey from AWS has also found that only 14% of workers consider themselves to have “advanced” fluency in AI, which means that there is an opportunity gap that is waiting to be filled, not enough talent currently has the correct capabilities. One way to address an AI skills gap is with education. Right now, there are a number of free resources you can take advantage of, including some from MIT. 3 DevOps jobs to discover this week

DevOps Engineer, ByteDance, San Jose ($136,800-$205,000)
DevOps Engineer, Blackstone Technology Group, Herndon
DevOps Engineer, Cohere Health, Remote Or, you could take a look at the Inception Program from NVIDIA's Deep Learning Institute (DLI). It is offering free credits aimed at enhancing AI skills, for those working at startups. You can apply even if your company doesn’t use NVIDIA's GPUs or SDKs, and if you’re approved, you’ll get free technical training, opportunities for co-marketing and customer introductions, engineering guidance, and exposure to a community of VCs. There are also many areas you can do a learning deep-dive on, across talks, tutorials, panels, demos, DLI Training Lab, or fireside chats for example. Topics on coffee include Generative AI With Diffusion Models, Fundamentals of Deep Learning, Rapid Application Development Using Large Language Models, or Building RAG Agents with LLMs, for example. AI upskilling makes sense: not only can it future-proof your career prospects, but learning in-demand skills will get you hired. Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today By Kirstie McDermott These days, everybody is talking about AI . According to trends platform Exploding Topics , this year, there are around 70,000 AI companies worldwide compared to 2023’s 67,300. One in four is based in the U.S., and global AI funding grew by a factor of seven between 2015 and 2019. AI Exploding Topics Exploding Topics Take up is accelerating as well: there are over 115 million companies currently using AI and around 42% of companies are exploring the use of AI. As a result, it isn’t much of a surprise to learn that there is a talent scramble underway. According to sources, Mark Zuckerberg has written personal emails to researchers at Google’s DeepMind, in an effort to convince them to come and work at Meta. 3 AI roles to apply for today Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000)
AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000)
AI Engineer, Vorto, Denver ($120,000-$180,000) 3 AI roles to apply for today 3 AI roles to apply for today Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Engineer, Vorto, Denver ($120,000-$180,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Engineer, Vorto, Denver ($120,000-$180,000) AI Engineer, Vorto, Denver ($120,000-$180,000) AI Engineer, Vorto, Denver ($120,000-$180,000) AI Engineer, Vorto, Denver ($120,000-$180,000) The company is also reported as making job offers to suitable candidates without interviews, and it has stepped back on a policy of not offering higher salaries to existing staff who have job offers from competitors. When it comes to what you can earn if you’ve got the right AI skills, reports indicate that Meta pays AI researchers up to $2 million, and OpenAI has even deeper pockets, offering salaries in the $5 million to $10 million range. Not bad. And while job search site Indeed has found that the number of job postings for software roles has tapered off, there has been a 15.7% increase in the number of AI-related postings. Indeed Indeed According to Pluralsight’s 2024 Technical Skills Report , interest in developing AI/ML skills has increased 11% from last year among technologists, and a new Microsoft report reveals that two-thirds of leaders wouldn’t hire someone without AI skills. 2024 Technical Skills Report 2024 Technical Skills Report new Microsoft report new Microsoft report This all presents an opportunity for talented workers––along with a challenge for companies, as 43% of HR managers said in 2023 that their companies would face a skills gap . face a skills gap face a skills gap A recent survey from AWS has also found that only 14% of workers consider themselves to have “advanced” fluency in AI, which means that there is an opportunity gap that is waiting to be filled, not enough talent currently has the correct capabilities. survey from AWS survey from AWS One way to address an AI skills gap is with education. Right now, there are a number of free resources you can take advantage of, including some from MIT . some from MIT some from MIT 3 DevOps jobs to discover this week DevOps Engineer, ByteDance, San Jose ($136,800-$205,000)
DevOps Engineer, Blackstone Technology Group, Herndon
DevOps Engineer, Cohere Health, Remote 3 DevOps jobs to discover this week DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Cohere Health, Remote DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Cohere Health, Remote DevOps Engineer, Cohere Health, Remote DevOps Engineer, Cohere Health, Remote Or, you could take a look at the Inception Program from NVIDIA's Deep Learning Institute (DLI). It is offering free credits aimed at enhancing AI skills, for those working at startups. NVIDIA's Deep Learning Institute NVIDIA's Deep Learning Institute You can apply even if your company doesn’t use NVIDIA's GPUs or SDKs, and if you’re approved, you’ll get free technical training, opportunities for co-marketing and customer introductions, engineering guidance, and exposure to a community of VCs. There are also many areas you can do a learning deep-dive on, across talks, tutorials, panels, demos, DLI Training Lab, or fireside chats for example. Topics on coffee include Generative AI With Diffusion Models, Fundamentals of Deep Learning, Rapid Application Development Using Large Language Models, or Building RAG Agents with LLMs, for example. AI upskilling makes sense: not only can it future-proof your career prospects, but learning in-demand skills will get you hired. Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today By Kirstie McDermott By Kirstie McDermott By Kirstie McDermott

This FREE AI Training Will Get You a Pay Raise

The launch of generative artificial intelligence (genAI) tools such as ChatGPT and DALL-E, making businesses explore how this technology can spark creativity and drive innovation. In fact, a 2021 survey by found that 86% of executives believe AI will become a mainstream technology in their company within the next 3-5 years. PwC But what exactly is Generative AI, and how can it help in the creative field? Generative AI isn't just about automating tasks, it inspires creativity and has practical applications in fields like drug discovery, virtual reality, and content creation. These AI systems can use deep learning algorithms to create entirely new content, from images and videos to music and text, that closely resembles human work. In this post, we'll explore how Generative AI is changing creativity and problem-solving in the business world. Generative AI as a creative assistant While automation is a one of the aspects of Generative AI, it is also used as a creative assistant; let's explore how it is changing creative processes across various fields. Brainstorm new product ideas Brainstorming sessions often need help to overcome creative blocks and create diverse ideas. Companies can use Generative AI tools like MarcomAI. By using vast datasets, these tools can create surreal product ideas based on keywords provided by the user. For example, PepsiCo uses Generative AI to create new flavor combinations. The AI analyzes consumer preferences, flavor profiles, and market trends to suggest novel and potentially delicious options humans might not have considered. Product and graphic design Generative AI is also changing the way designers explore concepts. Tools like AutoDesk Generative Design allow designers to input parameters and receive multiple design variations based on those constraints. It helps them to explore possibilities they might not have considered before for more innovative and efficient product development. Generates personalized marketing copy For a successful marketing campaign, writing compelling copy that resonates with different audiences can be a time-consuming task. Generative AI tools like Copy.ai analyze target audiences and product details to craft personalized marketing copy for different platforms. It allows marketers to tailor their messages for maximum impact without sacrificing creativity. Similarly, creating catchy headlines is also important for creating content assets. AI tools like Jasper can analyze your content and target audience to suggest attention-grabbing headlines.Thus, marketers can focus on refining the overall strategy while the AI does the creative heavy lifting. Compose music Generative AI is also making waves in the music industry. Amper Music can analyze a musician's style and generate melodic snippets to jumpstart the creative process. These AI-generated parts inspire musicians to create unique masterpieces. Moreover, platforms like LANDR analyze and build upon existing music to create new song sections or even full instrumental accompaniments. It allows musicians to explore new sonic parts and make music that might not have been possible alone. Popular GenAI platforms Generative AI tools like GPT-4, DALL-E 3, Sora, Apple's Realm, Google Gemini, and Anthropic's Claude are changing the creative landscape. Let's see how these platforms are being applied across various industries. by OpenAI, is used for many applications, from generating creative writing prompts to code development. For example, Duolingo, the popular language learning app, has integrated GPT-4 to create more personalized user learning experiences. GPT-4 understands significantly more nuance and detail, allowing you to translate your ideas into exceptionally accurate images easily. DALL·E 3 is built natively on ChatGPT, which lets you use ChatGPT as a brainstorming partner and refiner of your prompts. Just ask ChatGPT what you want to see in anything from a simple sentence to a detailed paragraph. DALL·E 3 Developed by OpenAI, Sora focuses on creating high-quality videos. Unlike prior models, which are limited by video size and resolution, Sora can generate impressive visuals in various formats. Google's Gemini excels at responding to your questions and requests in a comprehensive way, potentially serving as an effective research and writing assistant. Given Google's focus on global accessibility, Gemini can provide information and communication across multiple languages. Anthropic Claude exhibits near-human levels of fluency in complex tasks. It has increased capabilities in analysis and forecasting, nuanced content creation, code generation, and conversing in non-English languages like Spanish, Japanese, and French. These examples show how GenAI is becoming an invaluable assistant in the creative process. As AI continues to evolve, it's important to remember that it is not meant to replace human creativity but to augment it. By taking care of repetitive tasks, AI frees humans to focus on higher-level strategic thinking and emotional connection in the creative process. Building a Responsible AI Future: Challenges and Opportunities As we explore the incredible applications of Generative AI, it's also vital to address its challenges. Data privacy, bias, and the need for skilled professionals are key issues that require our attention. Data privacy Generative AI models are trained on vast amounts of data. To protect personal information, we need robust data governance frameworks and strict adherence to privacy regulations like GDPR and CCPA. The Partnership on AI (PAI) is a collaborative initiative that brings together diverse voices from the AI community, including leading technology companies, academic institutions, and civil society organizations. Their mission is to address important questions about our future with AI and to advance responsible AI practices. In January 2024, released a comprehensive report titled "AI Rules of the Road". This report provides a holistic approach to safety that includes bias, overreliance on AI systems, privacy, and worker treatment. It aligns with their ongoing efforts to establish best practices for responsible data collection and usage in AI development. PAI Bias in AI systems If the data used to train Generative AI models is biased, the outputs generated by these models can perpetuate and even amplify those biases. Ensuring diversity and inclusivity in the data sets used for training AI models is essential to mitigate this risk. Organizations like OpenAI have been working on techniques like "constrained language models" to reduce bias in generated content. Additionally, regularly auditing AI systems for potential biases and making necessary adjustments is necessary to build trust. The shortage of skilled professionals As the demand for AI talent continues to grow, there is a widening gap between the supply and demand of skilled professionals. To bridge this gap, we need to invest in education and training programs that equip individuals with the necessary skills to work with Generative AI technologies. Initiatives like the AI4ALL program, which focuses on increasing diversity and inclusion in AI education, are making great strides in this direction. Focusing on ethical AI development practices is another aspect of building a responsible AI future. It involves integrating ethical considerations into each stage of AI development, from data collection and model training to deployment and monitoring. The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems has developed a comprehensive framework called "Ethically Aligned Design" to guide the responsible development of AI systems. To implement these principles, organizations can establish internal ethics committees to oversee the development and deployment of AI systems. These committees can ensure that AI projects align with the organization's values and adhere to ethical guidelines. Regular audits and impact assessments can also identify and mitigate potential risks associated with AI systems. Wrapping up Generative AI is pushing human creativity and innovation like never before. We can accomplish many tasks in less time and create imaginative products with these tools and technology. However, we must also address AI's challenges. We can ensure AI systems are developed and deployed responsibly by prioritizing data privacy, mitigating bias, and nurturing a skilled workforce. Our best chance of building AI systems that support our values and benefit humanity is through collaboration and transparency. By working with researchers, developers, and policymakers, we can create a future where Generative AI is used for good. So, let's experiment with Generative AI tools, learn about the latest advancements, and contribute a unique perspective to AI adoption.

Generative AI: The Future of Creativity and Problem-Solving is Here

Let's learn about via these 69 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Online Learning /Learn Repo 1. Online Schooling Vs Traditional Schooling: Choose Wisely In this digital age, schooling designs have moved beyond the physical infrastructure. 2. Colonial Roots in The Modern Education System The modern western education system came about in the sixteenth century when Christian medieval broke apart and the Americas were discovered. It came about as an institution and formed a European identity. As such it is these values and cultural appropriation that prevails in the modern western education system to date. 3. Cloud Computing for Dummies Trust the cloud instead of reinventing the wheel. 4. Profitable Business Opportunities in Online Education Online education has witnessed a major rise during the period of 2019-2020. Especially after Covid 19 imposed lockdown, the online learning market has seen a massive growth rate globally with the increase in emphasis on e-learning. 5. 3 Software Engineering Podcasts You Didn't Know You Needed Here are 3 amazing software engineering podcasts recommendations that will help you become a better software engineer. 6. How long does it take to Code an eLearning Platform? To estimate the development costs it's crucial to know how long it takes for eLearning software development. Find out here! 7. How COVID-19 May Forever Change the Way Professors Teach Few institutions were prepared for the sudden shift to remote teaching prompted by the COVID-19 pandemic, and the response has been a real mixed bag. We have seen many institutions embrace this new reality, meeting the challenge head-on by training and supporting educators. But we’re also seeing scrambled and knee-jerk attempts at replicating the traditional classroom experience, which will no doubt affect attitudes towards remote learning. 8. The Best Online Platforms to Learn Something New, Today! Read this post to know the best Online Learning Platforms to Acquire New Skills And Enhance Existing Ones. 9. A Quick Guide to Microlearning Apps Entering the EdTech market, you'd better know the best competitors to compare your product. Discover top microlearning apps in this article. 10. How Coronavirus Is Ushering A New Quality Standard in Online Education We are living amidst an unprecedented shift in global education with college professors becoming Zoom adapts overnight, the class of 2020 to graduate virtually, continuous learning platforms on the lookout for the best performing interaction technologies, and the new wave of EdTechs officially upon us. 11. Things to Learn as a Novice Programmer to Find a Good Job Quickly In this article, I will share my thoughts on choosing your first programming language, what it means to “learn to program,” and what you should learn first. 12. Coursera vs Udemy: 6 Factors to Consider Coursera and Udemy are the most popular online learning platforms, but which one is better? Let's find out by comparing these 6 factors. 13. The 3 Part Framework to Effective Learning A hands-on practical system for learning from the learner's perspective. 14. Top Features When Developing An On-Demand App Like Uber for Tutors There are already a number of "Uber for Tutors" apps available online. If you're thinking about building your own, here are the key attributes to consider. 15. Online Learning: 3 Initial Experiences at Microverse After I got my Engineering diploma I have worked in several places. Those are professional factories including Croissant Production and Juice Extraction plants. I was dealing with data in all of those places. 16. Feeling Insecure When You First Start Something Does Not Mean You Have Imposter Syndrome How can an absolute beginner be a fake / an imposter? 17. How to Learn Difficult Concepts of CSS Positioning [Beginners Guide] In recent years, jobs are shifting more towards Machine Learning(ML), Artificial Intelligence(AI) technologies, both of which need significant coding skills. With the imminent threat of job losses to ML, AI, and other emerging technologies in the near soon, there are currently fears among employees that their jobs are about to be taken by robots. Consequently, there have been a lot of career changes today than ever before where people from different backgrounds are acquiring skills in the above-mentioned technologies, data analysis, as well as learning how to code. Looking at the trend of events in today’s dynamic labor market, coding is arguably among the skills that seem to be future-proof. For this reason, despite the seeming difficulty of learning how to code for someone without a traditional computer science background, people from all walks of life are venturing into coding by the day. 18. 5 Tips for Students to Stay Focused While Studying from Home Quite often, studying of students at home is quite difficult for them. After all, when they came to the university building to the lecture hall, it was much easier for them to focus on their studies. After all, the whole atmosphere and other students and teachers contribute to this. There is no such atmosphere at home, and students need to find the right ways to focus on their studies. If you have such problems, then here you can find some useful tips. that will help you focus on your studies. 19. The Challenges of Building an EdTech Company in the Post-COVID World Remote technologies and opportunities were already sweepingly popular before the nasty COVID-19 outbreak. 2020’s global pandemic and the resulting massive lockdown reinforced the industry-wide reach of online education and underlying technologies, boosting the growth of the EdTech industry by an annual 17-25%. The shift of both formal (school and university) and corporate education toward online is now stronger than ever, spawning new tech and business trends and dramatically popularizing the existing market tendencies. 20. 9 Free Data Science Courses & Guides For Beginners We human beings are depending so much on digital and smart devices. And all these devices are creating data at a very fast rate. According to an article on Forbes more than 90% of the world data has been created in past 2 to 3 years. 21. 5 Notable Cryptocurrency Conferences to Attend in 2022 Are you looking for 2022 crypto conferences? Here I gathered 5 the most notable cryptocurrency conferences you should attend. Most of them are online. 22. Top 6 AutoCAD Advanced Concepts You Need to Know AutoCAD is amongst the most widely used CAD systems worldwide. It was published as Autodesk's flagship product in 1982. 23. 7 Main Mistakes I Made While Learning to Code So it has been two months since I started my transition to a more tech-related career. I thought that in 3 months I would have enough knowledge to actually build a digital product. I couldn’t be more wrong. My main lesson learned is: learning to code is a lifetime commitment; it never stops. 24. Secure the Distance: How to Protect the Personal Data of Students Enrolled in Online Education The International Telecommunication Union provides security recommendations for schools. 25. How to Find an Online Plagiarism Checker for Safe and Effective Online Learning While there are many plagiarism checkers available online, it’s important to choose the right one for your needs. 26. Online Learning Hits All-Time High, Software Engineer Anton Novikau Brings His Expertise to Talaera The demand for and interest in the e-learning industry has hit an all-time high. 27. How Not to Ask for Help Online Let’s go over a few rules of thumb that I believe will take you from apparent scammer to valued community member. 28. Edtech Learning Curves: Could Sliding Stock Prices Suggest Pandemic Boom was a Flash in the Pan? Edtech stocks across Wall Street have been heavily underperforming - especially those that opted to go public in 2021. So what's next? 29. Crucial Features for Customized Virtual Classroom Software If you decided to develop a customized Virtual Classroom Software, learn what features do you need to provide a great user experience to all the participants. 30. Steal Like a Pro: Learn Java by Using Code Examples Hello, everyone! I am Johnny, senior Java developer and … I am a code thief—indeed, an old offender in this area. But guess what’s the best part: It’s not a crime! 31. Forget To-do Lists. What About To-learn Lists? We all have to-do lists. But what about a to-learn list? A to-learn list is a way to keep track of everything you want to learn. The beauty of a to-learn lis 32. Top 5 Teaching Platform to Create Online Courses - Best of Lot Hello guys, if you are an online course creator, teacher, instructor, or blogger and looking for the best platform to create, market, host, and sell your online courses then you have come to the right place. 33. How to Build a Successful eLearning Platform Like Coursera or Udemy If you are interested in investing in the eLearning sector, you will find helpful information in this blog about building an eLearning platform. 34. How to Get into Tech Without a Tech Background This article covers 3 key tips for entering the IT field and resources to leverage in order to pursue the path you wish to run towards. 35. Gendered Curriculums: A Cultural Artifact Curriculum resides in relationship with the concept of gender in complex and multifaceted ways. It explores the relationship between genders and demands that we look beyond gender as ‘sex-group differences’ to a deeper understanding of this notion as a cultural artefact. 36. How to Build an Online Video Education Platform for E-learning Business? From A to Z Planning to build an online video education platform? Here is all you need to know about creating a video streaming service for education 37. Why Online Plagiarism Checkers are an Integral Part of E-Learning During the pandemic, e-learning technologies have been placed under the spotlight. The reason is that the EdTech industry became the key enabler of remote and distance learning. Thanks to applying technology in e-learning, thousands of students around the globe successfully completed the last semester. Chances are, they will continue studying remotely in autumn as well. 38. Is it Easy to Learn Java if You Already Know JavaScript? Knowing several programming languages is trendy today and I am often approached by my students with requests like How long does it take to learn Java? 39. How To Get Out Of Tutorial Hell There are many ways to break out of tutorial hell. Start your own project. Contribute to open source. Join a community. 40. Busting Myths About Tech Bootcamps: Challenge What You Think You Know You've probably got a lot of assumptions about tech bootcamps, if they're worth it, how much they cost, who gets to do them...Ironhack is here to bust myths! 41. 10 Tips to Grow Your Local YouTube Channel Check Out What Can Make Your Content to Have a Wider Reach.. 42. 6 Best Websites to Learn Blockchain Online Here is a list of the best websites and online learning platforms to learn Blockchain. 43. Skype VS Zoom for Online Tutoring The global adoption of online tutoring due to various reasons, including the COVID-19 pandemic, has led to educators embracing video conferencing tools to conduct classes. While there are dozens of choices in the market, the most obvious choice for tutors is either Skype or Zoom. 44. The Rise and Advantages of Remote Learning and Education Online education is no longer regarded as something that should be criticized by your fellow students. Learn more about the rise of online platforms today. 45. What is a Mobile Developer and Why are they in High Demand? An expose on why web development is in high demand and how to join the crew. 46. How We Created a Mobile Tool For Learning Code In this article, we are going to talk about how we created the mobile version of CodeGym and where it led us. 47. How Learning Management System Revolutionizing the Education Sector Recently, there has been an international revolution in the higher education system. The process is getting structural and functional reformation with new experiments. One of these is gaining massive popularity amongst students and educational institutes alike: Learning Management System. 48. Is Paying to Learn Java 'Playing the Fool'? Find out what time is the right time to switch from free online education to one you pay for. 49. How to Fight Coder’s Block: A Guide for New Devs 4 reasons why coder’s block exists and a few ways to overcome it. 50. Hard Skills vs Soft Skills: What Is More Important To Employers? Professional competencies are divided into soft (flexible) skills and hard (stable) skills. How can you cultivate hard & soft skills to achieve career success? 51. 5 Best Online Information Technology Courses to Grow Your Tech Career Online learning is just as important to your career as learning in a class. Find out the five online courses that you can take to grow in your tech career. 52. #LockdownConf: How to Learn New Skills While Social Distancing At the #LockdownConf event streamed two weeks ago, Emma Bostian, Dhawal Shah and Angie Jones talked extensively on how to learn new skills while practicing social distancing. The conference which started at 14:00 GMT (UTC), was co-hosted by  Quincy Larson and Hashnode co-founder, Syed Fazle Rahman on the freeCodeCamp YouTube channel. It featured 4 panels, each with 3 developers discussing topics covering: 53. Your First Steps to Becoming a Programmer Let’s discover the most interesting and effective sources to learn programming and make the start for a bright new career. 54. How Effective is Online Employee Training? In this article, we will talk about how effective employee training is online, as well as which programs can be moved online and which cannot. 55. I watched a YouTube tutorial. Now what? The value of YouTube tutorials for gathering information cannot be overstated, but whether or not it translates to real learning is another story. 56. 11 Great Online Learning Platforms to Build New Skills: 2022 Edition Online learning is a great option to keep you occupied while feeling more productive and purposeful. It helps you polish your skills and add more qualifications to your resume. You just need an excellent online learning platform to find the courses of your choices and develop your skills. 57. The Hows, Whats, And Whys To Learning Python As A Business Student Recently, some colleagues from work as well as friends reached out to me and asked me for advice on how they could learn to code and where to start. Especially, during COVID-19, many people want to take advantage of their lockdown time by picking up a new skill like coding. 58. 5 Important Ways COVID-19 is Reshaping the Online Education Industry Let's take a closer look at the most important ways that the COVID-19 pandemic is reshaping online education and how you can use it to succeed in 2021. 59. Hosted LMS vs SaaS LMS: How do they Differ? Are you confused between Hosted & SaaS LMS? On that note, this article delves further into a comparison between two LMS solutions: SaaS LMS versus Hosted LMS. 60. Wake Up With a Cup of Java: 10+ Practice Projects for Your Programming Career Prospects So, you’ve started to learn Java programming and wonder how to make the learning process faster and boost your career prospects. But what about practice? 61. Top EdTech Trends in 2022 and Beyond: Things You Can’t Miss EdTech has been quickly growing thanks to the many advances in technology in the last decade. These are the trends that will affect the field for the next year. 62. Popular Online Courses: The Best One To Enhance Your Copywriting Learn and enhance your copywriting, with the best online courses available. 63. Metaverse Schooling: Seeking Education in Web 3.0 Metaverse schooling is a revolutionary new way of learning that promises to upend the education system whilst providing students with an immersive and interactive experience that blurs the lines between physical and virtual classrooms. 64. Practices Used in eLearning Video-Content Protection Find out here how to provide eLearning content security which is needed with the majority of data in open access. 65. The Best Advice Ever On How To Learn Faster And Become A Coding Pro Let’s face it: people are impatient by nature and most likely want things to happen faster in their lives. I would apply the same to code learners. Students, when starting to learn programming, first wonder how to speed up the training and make a career as a programmer as soon as possible. 66. Why and How We Expanded into the Chinese EdTech Market This is the nuts and bolts of the early results and returns of our startup's expansion into China's EdTech Industry. 67. 20 Fun DIY Java Projects To Fine Tune Your Skillset This is a rundown of amazing Java project ideas that will set off your career in programming. Given, there are dozens of projects that could help you learn or perfect some basic or complex Java tasks. But if you are a beginner who is rather skeptical about venturing out on your own, the projects in this mini-guide have been handpicked specifically for you. 68. Learn C# Programming Course for Free Learn c# programming with examples. C# is an object-oriented programming language, and it is useful to build web, windows, mobile applications. 69. It’s Time to Start Learning Coding: Top 20+ Best Websites To Learn Programming in 2020 I’m sure many of us are wondering how to stay a relevant professional in the post-pandemic world. One of the ways, obviously, is learning to program. Now that the industry is at the 21% growth rate (higher than that of any other field), it’s clear that the demand for good developers is not going anywhere. Thank you for checking out the 69 most read stories about Online Learning on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

69 Stories To Learn About Online Learning

Introduction How many times have you heard the word "AI" in 2023? There is a probability that you must have heard it too many times, especially with the popularity of ChatGPT. AI, which is an acronym for Artificial Intelligence, is a fast-growing phenomenon in today's world. According to statistics, . From education and health to entertainment and business, AI is reshaping our environment and our way of life. the global AI market is valued at over $136 billion and is projected to increase by over 13x over the next seven years At the same time, it is opening up new possibilities and posing new risks to the continued growth, welfare, and survival of mankind. In the modern world, AI is a rapidly expanding phenomenon. Statistics show that the global AI market is already worth over and is expected to grow by more than 13 times over the following seven years. $136 billion AI’s Basic Working Principle… Artificial intelligence is basically the capacity of a digital computer or computer-controlled robot to carry out actions frequently performed by intelligent individuals. Systems and tools that are built with AI can recognize, combine, and deduce information from a variety of data sources, including audio, photos, videos, text, and more, and they can also learn from this information. They can learn from prior experiences, generalize, use reasoning, find meaning, and adapt to new circumstances, which helps them become more intelligent. AI Tools Across 11 Different Sectors in the Modern World Most industries throughout the world—if not all—use AI tools and technology in some capacity. Although it mostly has some beneficial effects, there is concern that given how quickly AI is expanding and improving, and it may have the ability to eliminate many occupations. How accurate is that? But first, let's examine some of the well-known industries that have begun making major use of AI to make this determination. 1. Finance There are powerful AI tools that are used by a variety of financial organizations and even individuals in the areas of financial planning and analysis, assessing credit risk, fraud detection, trading, and investments, optimizing insurance claims processing, sales, and customer services, and digitizing historical files and documents, amongst other applications in the field of finance. Some of the tools include: A virtual assistant tool in the Bank of America mobile app that assists users with a variety of banking operations like checking balances, paying bills, and sending money, as well as balance reconciliation. Capital One also has a similar virtual assistant called  Eno, which notifies users of suspected fraud, price increases, or payment reminders. Erica: Enova uses AI technology to aid users have access to credit facilities and helps financial institutions to solve the challenges surrounding borrowers’ assessment through the provision of sound financial analytics. : Enova An AI-powered platform using data points to provide financial institutions with the data to conduct assessments on borrowers with little or no credit information : Zest : A technology that makes use of artificial intelligence to accurately process financial records like pay stubs, tax returns, and other related ones at a faster speed. Ocrolus provides a predictive model that helps financial institutions solve issues surrounding marketing, wealth management, fraudulent credit card transactions, underwriting, and business growth. : DataRobot an identity verification system that uses ML and AI to analyze and verify applicants’ data to ensure that the KYC details are accurate. : Socure 2. Blockchain Several techniques, including strengthening data security and privacy, improving data quality and trust, optimizing data processing and storage, creating data insights and value, integrating data across platforms and domains, etc., are employed by AI to reinvent and optimize the blockchain sector. Some instances include: - using AI and formal verification to authenticate the security of a blockchain, smart contracts, and web3 dApps. CertiK - which certifies and verifies valuable pieces of art and NFTs on the blockchain using AI. Verisart - which leverages AI to allow quicker transactions, more scalability, and less energy use. Matrix AI - employing artificial intelligence to examine cryptocurrency market movements and offer market insights for individual investors. Token Metrics - which employs AI to build a decentralized network of AI services that can communicate with one another and trade value on the blockchain. SingularityNET 3. Transport AI is revolutionizing transportation and supplying driving assistance. Some of the tools include: This company uses AI to power its autonomous vehicles and taxis for urban transportation. : Waymo Rapid Flow Technologies uses traffic management to deliver adaptive traffic signal control systems that lower congestion and pollution. This is done by analyzing traffic patterns, predicting traffic flow, and optimizing traffic lights using data and algorithms. : Rapid Flow Technologies Using AI, Uber apps are designed to find compatible drivers and passengers, calculate prices and arrival times, and offer safety features. These enhance passenger transportation services by personalizing travel options, streamlining pricing and scheduling, and enhancing customer satisfaction. : Uber Clear uses AI to build biometric identification verification services that let users use their faces or eyes as boarding credentials in airports.  This expedites airport security and boarding procedures in the aviation industry. : Clear With AI, Volocopter has been able to build its drone Taxis which will safely traverse the airspace, avoid obstructions, and land at designated places within a busy urban city. It offers a faster transportation system through congested streets by flying in the lower airspace with zero-emission. : Volocopter 4. Data Analysis One of the key industries using AI and machine learning is data analysis, which does so in a variety of ways, such as by analyzing unstructured data, producing data insights, streamlining data processing, integrating data across platforms and domains, and others. A few of the numerous AI tools that are used in data analysis include: A software program that forecasts data performance using artificial intelligence and suggests subjects based on prediction scores. : Tableau An AI tool designed by Microsoft for Data Analytics, Data Visualization, and Business Intelligence : Power BI A platform to analyze user data and offer insights and recommendations : Research AI An open-source tool to build customized data pipelines, workflow, and solutions for a range of data analysis task : KNIME An AI tool for analyzing and indexing a huge volume of data in real-time : Splunk 5. Software Engineering The coding and design industry is being reinvented and optimized by AI in several ways. Currently, programmers can generate, edit, optimize, check, and transform codes with the use of artificial intelligence (AI). Some of the AI tools available at their disposal include: A tool called , which can create code in common development environments, is , which is based on the GPT-3 standard. GitHub Copilot powered by the OpenAI Codex model A program called ** **utilizes artificial intelligence to examine code and identify flaws that would prevent it from running. Embold This tool is an app that provides programmers with comprehensive facilities to build, edit, and test codes and applications. Examples of popular IDEs include VS code, Eclipse, IntelliJ IDEA, PyCharm, Xcode, Android studio, NetBeans, Atom, Sublime Text, and Vim. The integrated development environment (IDE): An auto-completion tool that can be integrated into IDEs to improve productivity. This tool employs deep learning algorithms to predict the rest of the code a programmer is typing. : Deep TabNine : This AI-powered coding assistant using natural language, can generate codes, complete the function of the codes, and generate the summary of a function. CodeT5 Other AI tools that aid programmers include Google Bard, ChatGPT, AskCodi, Mutable, IBM Watson Code Assistant, Code-LMS, WPCode, and Amazon CrowdWhisperer. 6. Entertainment Although technically speaking, humans make up the majority of the characters, artists, and actors in the entertainment industry, artificial intelligence (AI) has begun to play crucial roles in the sector and is used in significant areas like generating, analyzing, optimizing, moderating, and personalizing realistic content for their audiences by using data and algorithms. Some platforms for entertainment that use AI are: aids artists in writing the lyrics of a song. It can write songs in over 100 languages. Lyrical Labs offers video analytics and insights across a variety of platforms, including YouTube, Facebook, Instagram, and TikTok. Tubular Labs is an AI-powered platform using machine learning algorithms to match licensed music with visual content. SyncFloor This is an AI video creation tool that can convert text data to video content. Lumen5: Other global organizations that inculcated AI into their products are Netflix__,__ which uses AI to adapt its streaming quality and bandwidth use to the customers' devices and networks; YouTube, which employs AI to search and eliminate content that breaks its community standards; and Spotify which utilizes AI for curating customized podcasts and playlists for its subscribers depending on their listening patterns. 7. Manufacturing This industry makes use of AI in several areas, including boosting predictive maintenance, streamlining manufacturing procedures, automating production duties, fostering production innovation, and more. The following are some instances of production platforms using AI in their operations: offers AI-based visual inspection solutions for a range of industries, including textiles, electronics, and the automobile. Landing AI for a variety of industries, including energy, mining, and transportation. Uptake leverages AI to offer predictive maintenance solutions. Uptake __c__an give solutions for the optimization of processes in a variety of industries, including the chemical, steel, and cement industries, by utilizing AI. __ m __ Petuu offers robotic picking solutions for a range of industries, including e-commerce, shipping, and the food industry. Covariant For generative design solutions across a range of industries, including architecture, engineering, and construction, leverages artificial intelligence (AI). Autodesk 8. Gaming AI may be used to create intelligent, human-like NPCs that communicate with players, forecast player behavior to improve game design and testing, provide lifelike images and audio, improve gameplay, and increase immersion, among other things. By using data and algorithms, it is also utilized to create, analyze, optimize, moderate, and personalize realistic material for their games. Several instances include: AI is used by to deliver statistics and insights for games across a range of platforms, including PC, mobile, and console. Unity AI is used by to recommend the best times to release mobile games as well as their prices and marketing techniques. Google Play In multiplayer games, employs AI to detect cheaters and block them. Steam 9. Healthcare AI activities in the healthcare industry are increasing by the day. Using systems like Natural Language Processing, Machine Learning, and deep learning algorithms, its impact is greatly felt, especially in domains such as; illness detection and patient care improvement, forecasting and epidemic prevention, medication discovery and development, personalizing and optimizing therapies, and much more. Some notable instances of AI in healthcare  include: The use of AI by to help oncologists diagnose and treat cancer. IBM Watson Health AI-powered tool to track and predict infectious disease outbreaks globally. BlueDot tool used to organize searches across billions of chemicals for possible drugs to speed up drug development. Atomwise Provision of individualized treatment plans by to provide patients with chronic diseases. Wellframe The Future In the years and decades to come, AI will become the centrepiece of innovation in the world, ushering in growth and influencing the world in ways that pave the way for enormous possibilities as well as threats to humanity's progress, prosperity, and the very existence. Possible outcomes may include: More individuals and businesses making use of AI's capabilities and applications as it becomes more widely available and democratized. It is expected that its interaction and synergy with other technologies like cloud computing, 5G, IoT, blockchain, and quantum computing will birth new realities. Advancement to the point where it can generate its content, goods, and services without human intervention. This advancement may accelerate to the level where it will be able to learn from its own experiences and those of other AIs, leading to novel kinds of intelligence and cooperation. A greater influence, transformation, and disruption across many fields and businesses. In conclusion, the development of AI has an inevitable future. It all comes down to how researchers plan, build, implement, and regulate AI systems. How well we adjust to the new opportunities and threats that AI presents will tell how deeply AI will twist our realities. To create the kind of future we want for artificial intelligence, we must be proactive, collaborative, and inclusive.

AI Tools That Are Reshaping The Modern World Industries

Let's learn about via these 56 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Serverless Architecture /Learn Repo 1. Error Handling Strategies for Serverless Event-Driven Architecture Designing the error handling for event driven architecture. 2. When To Go Serverless? It's hard to decide whether to go serverless or not. This article covers what is serverless in the first place and the pros & cons. 3. What Is Cloudwatch Embedded Metrics? I can’t believe not many people are talking about this AWS feature. It’s a game changer! 4. How to Trigger Lambda with SNS Messaging: Going Serverless with AWS Do you love event-driven programming? Let's take a look at triggering AWS Lambda functions from AWS SNS messages. 5. How To Use Ballerina in Azure Functions Ballerina since v1.2.5 has built-in support for Azure Functions. In this way, you can take a Ballerina function and expose it as a serverless function in Azure Functions. Azure Functions take on a unique approach in defining serverless functions with the function trigger and bindings concept. In this way, we can access other cloud services such as storage services (queue, blob, etc.), CosmosDB, Twillio, and timers right from the function itself without any additional connectors or authentication processes. We map our parameters and return types with these bindings, which provides us direct access to the resources. 6. 2 Methods for Installing Serverless Kubernetes in Alibaba Cloud Exploring Alibaba Cloud Serverless Kubernetes capabilities. Here are two methods for deploying Serverless Kubernetes in Alibaba Cloud. 7. Choosing a Computing Method: a Serverless SWOT Analysis If you ever find yourself deciding for or against serverless the following tries to make the decision easier for you. 8. Building Our E-Commerce Platform with Serverless FaaS We built our e-commerce platform with AWS Lambda and other serverless technology. Herel's why we chose AWS Lambda and more on Serverless FaaS. 9. How to Build Your Own TinyURL Build and design a low latency URL shortening service for free like TinyURL and Bitly using serverless technology with Cloudflare Worker and KV. 10. Node.js for Backend Web Development in 2022 Wil Node.js be still relevant in 2022? Read about Node.js architecture, advantages, and disadvantages in comparison to Java and Python. 11. It's a Jungle in the Cloud: Why Serverless Is The Next Big Thing For Developers Various aspects of serverless computing and why developers need to put their best foot forward in adopting serverless quickly. 12. Automating AWS Identity Center Permissions Management Event Driven Automation for AWS Permission Set Assignments 13. Five Book Recommendations For Serverless Developers Five books you must read if you are going serverless including books by Eric Evans, Richard Rodger, Chris Richardson, and more. 14. A Better Introduction to AWS Lambda Over 200 services are available through Amazon Web Services (AWS). AWS Lambda is the AWS platform's event-driven serverless computing solution. 15. An Introduction to Serverless Clouds Serverless Cloud allows you to build your applications without having to worry about the creation and management of cloud services. It does this by abstracting 16. Top 5 Serverless Trends in 2020 Happy Serverless September 2020! We at Coding Sans love working with serverless technology. This is why we decided to publish a report with the latest serverless trends this year. We partnered up with nine other companies who share our love to make it happen. 17. Migrating To Serverless Video Streaming Platforms like AWS Elemental Serverless technology is spreading across the SaaS industry like wildfire, including the Video Streaming industry. Is it a good idea? 18. Failing at Serverless: Serverless is Stateless Serverless is stateless. Well sometimes thats not quite true. Here is a story of fail. 19. Serverless at the Edge: A Quick Overview Edge computing platforms like Cloudflare Workers and Deno Deploy allow us to write serverless middleware and backends that are both very fast and cheap. 20. Monolithic vs Microservice Architecture: All You Need To Know The problem that enormous scale venture applications a work in progress bring to the table of programming designers was excessively. There was no arrangement at all to this issue that is the reason an alternate building style was required. Henceforth the expression "microservices" appeared after the economical advancement in distributed computing space, it was first utilized by Dr Peter Rogers in a meeting on distributed computing in 2005. 21. I Chose Serverless for My New Startup — Should You? I have seen cloud tech change a lot in my 10 years of experience. AWS and GCP were not the default choice a few years ago, and I have worked in companies that bought and installed physical servers. What a nightmare! And this is why trying out serverless was the natural next step for me. I think everyone should give it a shot, and I wanted to share my experience! 22. How To Make A Cost Effective API Serverless Infrastructures AWS API Gateway is a great service but can be quite expensive, and even cost-prohibitive in some cases. 23. AWS Lambda Alias: An Essential Guide Why you should be using AWS Lambda alias for your versioning strategy 24. GraphQL Can't REST While conventional wisdom states we should move to GraphQL entirely, for customer-facing APIs, we need REST. For our own frontends, GraphQL is the answer. 25. Serverless Architecture: Lambda Triggers and Design Patterns [Part 1] A while ago, we covered the invocation (trigger) methods supported by Lambda and the integrations available with the AWS catalog. 26. What is Fluid Computing: Apps and The Future Ahead Today's buzzword 'fluid computing' is one of the most underrated terms in the architecture world. Fluid computing is the master set of fog computing, edge computing, mist computing, and cloud computing, which is one of the most versatile architectures that can help in radically changing the way businesses function for good. In essence, the flow of computing resources, including the CPUs, storage, and memory into the functionalities such as routers and servers through virtual devices, is known as fluid computing. 27. How Migrating to Serverless Gave Square Enix, Autodesk, and FINRA Big Business Benefits Bigger companies are notorious for moving slow, but here's a case for why they should make the switch to serverless ASAP. 28. Understanding AWS Well-Architected Framework The AWS Well-Architected Framework (WAF) is a set of best practices used to create highly efficient and cost-effective applications on AWS. Lean more. 29. How to Build Your Own Serverless Pastebin Tool Read how to design, build, and deploy a serverless Pastebin clone using Cloudflare Worker and KV to upload and share text through links. 30. DynamoDB Key Partition Strategies for SaaS When using Amazon DynamoDB, you need to know how to effectively partition the tenant data in order to prevent performance bottlenecks as the application scales. 31. WunderGraph's Integration with Fauna Fauna is a distributed document-relational database delivered as a cloud API. 32. Serverless Computing Benefits for DevOps: A BTS You Should Not Miss! Serverless fits perfectly with DevOps and provides the edge over your competitors. 33. Running Eleventy Serverless On AWS Lambda@Edge The good news is that you can get Eleventy Serverless to run in AWS Lambdas. Even better, you can get it to run in Lambda@Edge. 34. An Introduction to the Internet Computer Protocol What is the Internet Computer Protocol? How does this new Blockchain protocol work? And what sorts of features does the Internet Computer Blockchain have? 35. Challenges and Opportunities of Serverless in 2021 Going serverless has many benefits, but it's not without its issues. Learn about the most common serverless challenges & how to overcome them. 36. 6 Reasons Why You Should Not Connect Express.js And AWS Lambda Some facts why usage Express.js inside AWS Lambda is pitiful design anti-pattern and how to give it up without pain. 37. Redefining Serverless: A Change in Approach and Architecture Serverless is a fantastic way of building applications, but there is a lot more to consider than simply Lambda functions. 38. Noonie Nominee Simona Cotin is a Cloud Developer Advocate at Microsoft Simona Cotin from the United Kingdom is a 2020 Noonie nominee in the Software Development category. Simona is a developer who has a passion for teaching others. Scroll on through for their take on what’s trending in tech today. 39. Severe Truth About Serverless Security and Ways to Mitigate Major Risks Going serverless is like outsourcing routine tasks to remote pro teams. You get a shorter time to market, lower cost, and better scalability. You focus on features that make your users happy instead of managing a complex infrastructure. You can be more creative and innovative, as a third-party vendor will save you from all the boring tasks. 40. Serverless Vs Microservices Architecture - A Deep Dive Companies need to be thinking long-term before even starting a software development project. These needs are solved at the level of architecture: business owners want to assure agility, scalability, and performance. 41. What Does Serverless Have In Common With Nutella? There is an interesting discussion going on around how Serverless is more of a spectrum rather than a binary choice. 42. Grasping Serverless At Scale Is A Lot Easier Than You Think Best Practices of Serverless at Scale 43. Using AWS API Gateway as a Load Balancer TL;DR: yes, API Gateway can replace what a Load Balancer would usually provide, with a simpler interface and many more features on top of it. The downside is that it doesn’t come cheap. 44. You’ve Been Thinking of Serverless All Wrong! Serverless in enterprise success stories. Why should enterprise move to serverless? What's important to enterprise in serverless. 45. Answering the Biggest AWS Lambda Questions Learn all about AWS Lambda, an Amazon serverless computing system that features a custom back-end service and real-time data processing >> 46. WunderBase - Serverless GraphQL Database on Top of SQLite, Firecracker and Prisma WunderBase is a Serverless Database with a GraphQL API on top of SQLite, Firecracker/Fly machines, and Prisma. 47. Building Notification Systems for Scalability and Reliability. The Developer's Guide to Building Notification Systems: Scalability, Reliability 48. The Future of Serverless API Development is Now Today, we are excited to announce the launch of WunderGraph Cloud! Today, we are excited to announce the launch of WunderGraph Cloud! 49. AWS Lambda: What Kind of Serverless Applications Can I Make? (Podcast Transcript) Amy Tom talks to Pavel Denisjuk about AWS Lambda and serverless applications. Pavel is the Co-Founder and CTO at Webiny. 50. What Does "Serverless" Mean? In the simplest terms, a serverless system is a way to build an application without having to manage the infrastructure. It reduces administration & maintenance 51. Serverless : The Future of Development Here’s a secret: Serverless is the future of development not because of how great of a technology it is. 
Here’s another secret: The previous statement is wrong. 52. Deconstructing a Serverless Cloud OS Responding to the Serverless Revolution 53. Architecting Serverless Data Integration Hubs on AWS for Enterprise Data Delivery: 2020 Edition 54. Migration On-Premises Application to Serverless Note: This article covers everything that I present in Viet Nam Web Summit 2019 (VNWS2019) — the biggest event of Viet Nam IT Community. Nowadays, “Serverless” keyword becomes very popular. Serverless is changing how developers and companies alike approach delivering business value using the public cloud. You can easily find a dozen of articles regarding this keyword. However, I’m pretty sure that, there are not too many articles show you step-by-step to migrate an On-Premises application to Serverless, but in this article, I will do! 55. Building Serverless Smart Contract Automation Project ‘Smart contracts’ is a misnomer. Despite its name, smart contracts on Ethereum are not self-executing digital agreements. Smart contract code only run when triggered by an external account. In other words, you need an external process to trigger the smart contract. 56. The Implications of Serverless CMS (Podcast Transcript) Amy Tom talks to Pavel Desjnuk, Co-founder and CTO of Webiny, and Richard Kubina, Full-Stack Developer Extrodinaire at Hacker Noon, about serverless CMS. Thank you for checking out the 56 most read stories about Serverless Architecture on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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