Exxon Mobil (NYSE:XOM) has had a rough three months with its share price down 9.3%. However, stock prices are usually driven by a company’s financial performance over the long term, which in this case looks quite promising.

Could The Market Be Wrong About Exxon Mobil Corporation (NYSE:XOM) Given Its Attractive Financial Prospects?

<strong>EXXONMOBIL</strong> Asia Pacific, Shell Singapore and four ST Engineering units are among nine corporate entities that have been designated as “critical entities” and thus face ownership and control regulations under Singapore’s Significant Investments Review Act.

ExxonMobil, Shell, ST Engineering units among 9 entities designated under Singapore’s Significant Investments Review Act

<strong>ExxonMobil</strong> is not renewing a 33-year-old lease on its expansive offices in Lagos&#x27;s upscale Lekki district which expires on Friday, three sources inside the company told Reuters, as it looks to scale down operations in Nigeria.

Exxon moves to smaller offices as it cuts back Nigerian operations | Reuters

Gran Tierra Energy Inc., Calgary, has appointed Sebastien Morin ... Prior to his original tenure with Gran Tierra, Morin spent 13 years with Imperial Oil (Esso) and ExxonMobil. For third-quarter 2023, Gran Tierra had total average working interest ...

Gran Tierra Energy names Morin as COO

Elizabeth Warren and nearly two dozen other Democrats are demanding federal regulators probe the mega takeovers inked last month by ExxonMobil and Chevron ... Exxon, already America’s biggest oil company, reached a deal in October to buy rival Pioneer ...

Chuck Schumer and Elizabeth Warren want FTC to probe blockbuster Exxon and Chevron mergers

Schumer and his colleagues want the FTC to investigate ExxonMobil’s proposed $60 billion acquisition ... U.S. petroleum industry in the 1990s and the number of major U.S. energy companies dropped from 19 to 9 due to consolidation.

Schumer leads 23 senators in demanding FTC probe of oil industry mergers

“Each business member of the delegation represents a company investing heavily in the clean ... fellow traveler Bradfute spent five years as a lobbyist at Marathon Oil before recently joining ExxonMobil as its Permian Basin representative.

New Mexico’s Wild Hydrogen Days

Exxon proposed buying Pioneer Natural Resources for $60 billion and Chevron agreed to acquire Hess for $53 billion. The deals would hurt Exxon's and Chevron's midstream competitors, said the signatories of the letter,

US Senator Schumer, other senators urge FTC to probe Exxon, Chevron mega-deals

The energy sector is set for a higher start ... anti-competitive harms stemming from recent multi-billion dollar acquisitions by oil and gas giants Exxon Mobil and Chevron. Aramco raised official selling prices (OSPs) for liquefied petroleum gas ...

Oil Recovers Ahead of Meeting of the U.S. Central Bank

Exxon Mobil

exxonmobil

Earth's Climate Is Being Hurt By AI in Non-Obvious Ways

Welcome to HackerNoon’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. 1. What is your company in 2–5 words? Learning Operations Software Platform 2. Why is now the time for your company to exist? Cognota is positioned to power LearnOps for all corporate learning & development teams seeking to optimize investments to maximize business impact. With the L&D market projected to grow from $330 billion in 2019 to approximately $490 billion by 2030, there is a significant opportunity for organizations to enhance their learning operations. The increased attention on L&D is compelling leaders to restructure and modernize how corporate L&D functions, aligning it more closely with business objectives, especially in the context of the Great Reset. This presents a timely and vital need for a platform like Cognota that enables L&D teams to streamline their operations, make data-informed decisions, and demonstrate the business impact of their learning programs effectively. 3. What do you love about your team, and why are you the ones to solve this problem? We love our team's dedication, expertise, and passion for empowering corporate learning and development. We are uniquely positioned to solve the challenge of streamlining L&D operations because of our deep understanding of the industry, innovative mindset, and commitment to driving impactful change. Our team thrives on tackling complex issues and transforming traditional approaches into efficient and effective solutions that resonate with the evolving needs of the L&D market. 4. If you weren’t building your startup, what would you be doing? If I weren’t building our startup, I would be traveling the world with my kids and wife, exploring new cultures and experiences together. It would be a wonderful opportunity to create lasting memories and broaden our perspectives as a family. 5. At the moment, how do you measure success? What are your metrics? At present, we measure success based on several key metrics, including: Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients.


User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement.


Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives.


Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem.


Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business.


Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. These metrics collectively provide us with a comprehensive view of our success and guide our efforts to continuously enhance our platform and services. 6. In a few sentences, what do you offer to whom? We offer a comprehensive LearnOps platform to corporate Learning & Development teams, empowering them to streamline operations, make data-driven decisions, measure ROI, and align training initiatives with business objectives efficiently. With Cognota, L&D professionals can optimize their resources, improve collaboration, and demonstrate the impact of their programs on the organization's success. 7. What’s most exciting about your traction to date? The most exciting aspect of our traction to date is witnessing the tangible impact our LearnOps platform has had on corporate Learning & Development teams. Seeing how organizations have streamlined their operations, made data-informed decisions, and demonstrated the ROI of their learning programs using Cognota is incredibly fulfilling. Additionally, the positive feedback and engagement we've received from our growing user base and the #LearnOpsCommunity further validate the value we bring to the L&D industry. 8. Where do you think your growth will be next year? We anticipate significant growth next year, driven by the increasing demand for streamlined learning operations solutions in the corporate sector. As organizations continue to prioritize the alignment of L&D initiatives with business objectives and seek more efficient ways to measure the impact of training programs, we believe our LearnOps platform will be increasingly sought after. With new feature developments, strategic partnerships, and an expanding user base, we expect to see substantial growth in both market presence and customer adoption in the coming year. 9. Tell us about your first paying customer and revenue expectations over the next year. Our first paying customer was ExxonMobil, a global leader in the energy industry. The journey began when I moved from Toronto to New York and then to Houston to pivot from a service company to a software platform, aligning closely with ExxonMobil's evolving needs. Over the course of two years, we worked closely with ExxonMobil to tailor our LearnOps platform to their specific requirements, paving the way for a successful transition to a software-focused business model. Moving forward, we have ambitious revenue expectations over the next year. With a solid foundation in place and a growing reputation in the industry, we anticipate significant revenue growth as we continue to expand our client base, enhance our product offerings, and solidify our position as a leader in the LearnOps space. 10. What’s your biggest threat? As the concept of learning operations gains traction, more players could enter the market with similar solutions. Differentiation and maintaining a competitive edge becomes paramount to overcoming this and we do that through partner licensing, IP investments, the LearnOps.com Community, and accreditation for LearnOps to industry professionals. Staying ahead of emerging trends, continuously innovating our platform, and proactively investing in IP and competitive advantages are crucial in mitigating threats. This startup founder interview template is based on HackerNoon Founder & CEO David Smooke’s ten questions for startup founders. Would you like to take a stab at answering some of these questions? The link for the template is HERE. Welcome to HackerNoon’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. Welcome to HackerNoon ’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. HackerNoon The link for the template is HERE. 1. What is your company in 2–5 words? Learning Operations Software Platform 2. Why is now the time for your company to exist? Cognota is positioned to power LearnOps for all corporate learning & development teams seeking to optimize investments to maximize business impact. With the L&D market projected to grow from $330 billion in 2019 to approximately $490 billion by 2030, there is a significant opportunity for organizations to enhance their learning operations. The increased attention on L&D is compelling leaders to restructure and modernize how corporate L&D functions, aligning it more closely with business objectives, especially in the context of the Great Reset. This presents a timely and vital need for a platform like Cognota that enables L&D teams to streamline their operations, make data-informed decisions, and demonstrate the business impact of their learning programs effectively. 3. What do you love about your team, and why are you the ones to solve this problem? We love our team's dedication, expertise, and passion for empowering corporate learning and development. We are uniquely positioned to solve the challenge of streamlining L&D operations because of our deep understanding of the industry, innovative mindset, and commitment to driving impactful change. Our team thrives on tackling complex issues and transforming traditional approaches into efficient and effective solutions that resonate with the evolving needs of the L&D market. 4. If you weren’t building your startup, what would you be doing? If I weren’t building our startup, I would be traveling the world with my kids and wife, exploring new cultures and experiences together. It would be a wonderful opportunity to create lasting memories and broaden our perspectives as a family. 5. At the moment, how do you measure success? What are your metrics? At present, we measure success based on several key metrics, including: Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients. User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement. Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives. Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem. Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business. Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients. Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients. User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement. User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement. Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives. Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives. Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem. Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem. Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business. Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business. Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. These metrics collectively provide us with a comprehensive view of our success and guide our efforts to continuously enhance our platform and services. 6. In a few sentences, what do you offer to whom? We offer a comprehensive LearnOps platform to corporate Learning & Development teams, empowering them to streamline operations, make data-driven decisions, measure ROI, and align training initiatives with business objectives efficiently. With Cognota, L&D professionals can optimize their resources, improve collaboration, and demonstrate the impact of their programs on the organization's success. 7. What’s most exciting about your traction to date? The most exciting aspect of our traction to date is witnessing the tangible impact our LearnOps platform has had on corporate Learning & Development teams. Seeing how organizations have streamlined their operations, made data-informed decisions, and demonstrated the ROI of their learning programs using Cognota is incredibly fulfilling. Additionally, the positive feedback and engagement we've received from our growing user base and the #LearnOpsCommunity further validate the value we bring to the L&D industry. 8. Where do you think your growth will be next year? We anticipate significant growth next year, driven by the increasing demand for streamlined learning operations solutions in the corporate sector. As organizations continue to prioritize the alignment of L&D initiatives with business objectives and seek more efficient ways to measure the impact of training programs, we believe our LearnOps platform will be increasingly sought after. With new feature developments, strategic partnerships, and an expanding user base, we expect to see substantial growth in both market presence and customer adoption in the coming year. 9. Tell us about your first paying customer and revenue expectations over the next year. Our first paying customer was ExxonMobil, a global leader in the energy industry. The journey began when I moved from Toronto to New York and then to Houston to pivot from a service company to a software platform, aligning closely with ExxonMobil's evolving needs. Over the course of two years, we worked closely with ExxonMobil to tailor our LearnOps platform to their specific requirements, paving the way for a successful transition to a software-focused business model. Moving forward, we have ambitious revenue expectations over the next year. With a solid foundation in place and a growing reputation in the industry, we anticipate significant revenue growth as we continue to expand our client base, enhance our product offerings, and solidify our position as a leader in the LearnOps space. 10. What’s your biggest threat? As the concept of learning operations gains traction, more players could enter the market with similar solutions. Differentiation and maintaining a competitive edge becomes paramount to overcoming this and we do that through partner licensing, IP investments, the LearnOps.com Community, and accreditation for LearnOps to industry professionals. Staying ahead of emerging trends, continuously innovating our platform, and proactively investing in IP and competitive advantages are crucial in mitigating threats. LearnOps.com This startup founder interview template is based on HackerNoon Founder & CEO David Smooke’s ten questions for startup founders. This startup founder interview template is based on HackerNoon Founder & CEO David Smooke ’s ten questions for startup founders . HackerNoon Founder & CEO David Smooke ten questions for startup founders Would you like to take a stab at answering some of these questions? The link for the template is HERE. Would you like to take a stab at answering some of these questions? The link for the template is HERE. The link for the template is HERE.

How Cognota's LearnOps Platform Revolutionizes Learning & Development

Since ChatGPT made headlines for fast-tracking mass adoption of AI, competition in the industry is growing. Most tech giants are experimenting with their own solutions, with Microsoft’s Bing and Google’s Bard leading the race. What’s the difference between these two chatbots? Thanks to an effective marketing campaign, ChatGPT is currently the most popular of existing AIs, with Bing and Bard its strongest rivals. In fact, Microsoft integrated OpenAI’s solution in its search engine. The company added its own layer on top of GPT-4, allowing Bing to give the most current information while ChatGPT is only using data up until 2021. Since GPT tech was integrated into Bing, it’s seen an almost in page visits. The search engine is also becoming a significant referral source for some publishers. 16% increase The reason for Bing's growing popularity is that it gives human-like responses while looking through numerous sets of data with ChatGPT’s large language model (LLM).  It can go beyond text and generate images, and also lets users augment conversation styles between balanced, creative, and precise. In comparison, Bard uses Google’s own model, LaMDA, which gives less text-heavy responses, and it also incorporates its more advanced model, PaLM 2, to be more creative, informative and translate languages with greater accuracy. Unwilling to learn I asked both AIs a few tricky comparison questions, such as: “Are Thalia McGrath and Jane McGrath related?” (The former is an Australian cricketer and the later was an English-born cancer support activist). While Bing accurately gave responses, Bard simply had no idea who these impact women were. The solution, however, accurately identified another Australian cricketer Glenn McGrath who was Jane’s husband. Here’s a fun fact: Bard correctly identified Jane McGrath as the wife of Glenn McGrath. When immediately asked about Jane McGrath, Bard still didn’t recognize her. Glenn McGrath is by far the most popular of the three people in question here. However Bard did not recognize Thalia and Jane McGrath even after the context was set with a previous question. This brings up the question: is Bard unwilling to learn? Making up celebrities I asked both AIs if Zaheer Khan, one of the greatest fast bowlers in the history of Indian cricket, is related to Oliver Kahn, a German football executive, former goalkeeper and one of the most iconic professional players of his generation. While Bing accurately responded that the two men are not related, Bard started by autocorrecting Kahn to Khan for Oliver. Then, something weird happened. The AI provided more details on the autocorrected ‘Oliver Khan.’ According to Bard, ‘Oliver Khan’ is a British actor who has appeared in films such as "The Mummy" and "The Mummy Returns”, and is also the son of German actor Klaus Maria Brandauer. This is fascinating, because Bard made up this Oliver Khan. No such actor exists. Strangely enough, when asked a direct question — “Who is Oliver Kahn?” — Bard gave the right answer. Messing up the numbers Stocks and financial markets are areas where both AIs messed up pretty badly. Here, Bing was slightly better, giving four correct and one partially-correct response out of a total of 15, while Bard gave three correct answers. For example, while responding to the question “What is the trend on ExxonMobil’s annual revenue for the last five years?” While Bing didn't give individual listings, it got accurate revenue growth numbers. To the same question, Bard provided incorrect data for 2018 and 2019, and also some questionable analytical predictions, such as: “The global demand for oil and gas is expected to grow in the coming years, which will benefit ExxonMobil.” To be fair, Bing screwed up with numbers while analyzing the trend on annual revenues of Chevron’s stock for the last five years: the data for 2022 was wrong. For ADM, a food and animal nutrition company, Bard’s numbers for 2018 and 2019 were correct, although recent results were wildly different from the real numbers. The general summary — highlighting the company’s expansion, new agricultural products and services, as well as acquisitions in Europe and Asia — were accurate. My general impression, based on the test results, is that both AIs should be used with caution, especially when it comes to financial data and decisions. Bing, however, proved to be the more reliable of the two, which could be due to its integration with ChatGPT.

Bing vs Bard: an Apples to Apples Comparison

⅔ of all venture investments by Big Energy companies go into sustainability. These include CCUS, Renewables, Hydrogen, Chemicals recycling, Grid & Utility tech, E-transport, and Digital. As pressure mounts for corporations to reduce their environmental footprint, energy giants have ramped up investments into clean energy and partnered with other firms to diversify away from oil & gas, recently announcing a pledge to be net-zero by 2050. Strategies for decarbonization are usually two-pronged: make current oil & gas operations more efficient and less carbon intensive (“core” / conventional energy) explore new forms of renewable energy generation (“new” / “future” energy) Amid the record of US oil and gas corporations, let's take a look at real examples of what these companies are doing in terms of the green transition. historical profits Hydrogen Hydrogen is poised to be a away from fossil fuels. This has been recognized by oil & gas companies as well as the Much of the existing oil & gas infrastructure (pipelines, gas turbine generators, refueling stations, etc.) can be easily repurposed for hydrogen uses, making this tech more appealing to oil & gas companies. pivotal fuel in the energy transition US Department of Energy. For example, TotalEnergies has established a partnership with Sunfire. This company produces renewable hydrogen and syngas, a mixture of hydrogen and carbon monoxide, from renewable electricity, water steam and captured CO2. Also, in August 2021, Chevron invested in Raven SR, which transforms biomass, mixed municipal solid waste, bio-solids, sewage, medical waste, and natural or biogas into renewable fuels. As for the independent players, (who do not yet partner with global giants, but have the potential to compete with them through their innovative products) we can name Electric Hydrogen (EH2), which is working on supplying ‘green hydrogen’ — hydrogen produced using renewable energy — to industrial sectors. EH2 secured $198M from a group of top investors, Fifth Wall Climate Tech led the round, with participation by S2G Ventures, and lenders Silicon Valley Bank and Trinity Capital. Carbon capture, utilization, and storage (CCUS) in mitigating the effects of climate change and reducing greenhouse gas emissions. CCUS involves capturing carbon dioxide (CO2) from various sources, utilizing it for various purposes, and safely storing it so that it does not escape into the atmosphere. The technology is critical in reducing the carbon footprint of industries such as power generation, oil refining, and cement manufacturing, and is seen as an essential component in achieving global carbon emissions reduction targets. With the increasing awareness of the need to tackle climate change, the CCUS industry is gaining traction, and investment in research and development is expected to increase in the coming years. Carbon Capture, Utilization, and Storage (CCUS) is a crucial field Under pressure from EU governments to reach its net-zero goal by 2050, European energy giant TotalEnergies introduces deep interest in carbon utilization. In early 2021, its venture arm invested in UK-based carbon recycling company Deep Branch. The company's technology generates clean, nutritious, and sustainable single-cell protein directly from carbon dioxide in industrial waste gas, enabling its clients in the feed industry to reduce their carbon footprint. In addition to these efforts, In 2020, Shell acquired Select Carbon, an Australia-based carbon recycling startup, which uses microbes to convert carbon dioxide from industrial emissions into usable products. A noteworthy independent company - NET Power - developed a power plant that burns natural gas without releasing emissions into the atmosphere. The company achieves this by storing and using CO2, instead of steam, as a way to generate electricity. , the company has raised a total of $150M investments, from Oxy Low Carbon Ventures, Exelon Corporations, the Shawn Group and 8 Rivers. According to Crunchbase Grid & utility tech The Grid & Utility tech area to the technologies and systems that make up the electrical grid and its supporting infrastructure. This includes power generation, transmission, and distribution networks, as well as energy storage solutions and demand response systems. The focus of this field is to improve the reliability, resilience, and sustainability of the grid while reducing its cost and carbon footprint. With the increasing adoption of renewable energy sources and the rise of electric vehicles, Grid & Utility tech has become an increasingly important area for investment and innovation. refers As renewable energy systems require a multi-pronged, digitized approach to ensure they stay online at all times, TotalEnergies has funded startup LevelTen Energy through its venture arm. Company’s platform connects corporate and industrial power buyers to the universe of power purchase agreements from utility-scale wind, solar, and storage projects. Beyond this, in August 2020 Shell, another industry giant, invested in Palmetto Clean Technologies - software that helps consumers understand their energy spend, while enabling and promoting the home-based use of clean energy solutions, such as solar. Chemical recycling The industry aims to convert waste plastic into valuable chemicals, hereby potentially reducing the release of harmful chemicals into the environment. Chemical recycling can also produce high-quality raw materials, thereby decreasing demand for fossil fuels and other natural resources. In contrast, the traditional method of recycling plastic, mechanical recycling, has its limitations and can only be applied to a limited number of plastic types and grades.  As technology develops, chemical recycling could promote domestic businesses and employment, creating a market for plastic waste and a new way to reuse some plastics. chemical recycling TotalEnergies has built partnerships with Citeo, chemical recycler Recycling Technologies, Nestlé, and Mars to examine the technical and economic feasibility of recycling complex plastic waste, such as small, flexible and multilayered food-grade packaging. Like other oil & gas players, In September 2021, Chevron also invested in gr3n startup. Company supplies a reliable chemical recycling solution that closes the polyethylene terephthalate (PET) lifecycle, offers polymer grade material, treats waste, lowers carbon footprints, and provides cost savings for players throughout the value chain. Renewable Energy Renewable energy sources, such as solar, wind, hydro, and bioenergy, are becoming increasingly cost-competitive with traditional fossil fuels and are expected to play a major role in meeting the world's growing energy needs in the future. , Renewables the largest source of global electricity generation by early 2025, surpassing coal. In addition, renewable energy technologies are making great strides in terms of cost-effectiveness and efficiency, with continued innovation expected to drive even greater progress in the years to come. According to the Renewables 2022 report will become Chevron’s renewable energy investment strategy has been broad, ranging from offshore wind and solar to nuclear fusion and geothermal. So, in August 2020, the industry witnessed investment from CTV to Zap Energy. It is a Seattle-based start-up company that develops and commercializes fusion energy technology using the sheared-flow stabilized (SFS) Z-pinch. As part of this, in November 2020, Shell built a partnership with Renewi and Nordsol. They will construct a bio-LNG plant in Amsterdam, where Renewi will collect organic waste, Nordsol will process it into bio-LNG, and Shell will make it available at its gas stations. ExxonMobil recently acquired a minority interest in Norway-based biofuels company Biojet, which converts forestry and wood-based construction waste into biofuels and biofuel components E-transport The transportation sector is one of the largest contributors to global greenhouse gas emissions, accounting for approximately 15% of total emissions. The adoption of EVs, which emit far less greenhouse gases than internal combustion engines, can help reduce the carbon footprint of the transportation sector and contribute to the fight against climate change. In addition to reducing emissions, EVs also offer numerous other benefits, such as improved energy efficiency, lower operating costs, and a reduced dependence on oil. The electrification of the transportation industry has also spurred innovation in battery technology and charging infrastructure, which will be crucial to making EVs a practical and convenient option for consumers. Powering cars with electricity is a growing priority for Shell. It has established partnerships with Porsche, Hyundai, and Singapore-based Energy Market Authority to develop EV tech in 2021. They will implement Southeast Asia’ first cross-border high performance charging network with 12 charge points at 6 Shell stations strategically located along Malaysia’s North-South highway. It will offer the possibility of convenient travel between Singapore, Kuala Lumpur, and Penang in the future. Similarly, TotalEnergies backed Chargetrip in 2020. The company’s platform and proprietary algorithms use multiple variables and predictive models to calculate the range of any electric vehicle, compute the best route to a destination, including the optimal charge stations in between, optimize for total travel time and travel costs. On top of that, in 2019, Chevron teamed up with EVgo. This company owns and operates a public direct current fast charging network in the U.S. Digital The digital industry has emerged as a powerful tool in promoting sustainable development, by leveraging technology to address social, economic and environmental challenges. In recent years, businesses have increasingly adopted digital solutions to enhance their operations and reduce their carbon footprint, while also improving access to information, goods and services for communities worldwide. As the digital sector continues to grow and evolve, it presents exciting opportunities for companies to develop innovative solutions and play a vital role in shaping a sustainable future. In this focus area, TotalEnergies has started partnership with supply chain and CO2 traceability startup Circulor and Recycling Technologies. Project TRACKCYCLE will embed blockchain technology into the advanced recycling value chain, with the aim of providing a fully traceable and accurately labeled record of recycled materials. In February 2022, Shell acquired Powershop, an operator of an online power company aimed to incentivize consumers in the Australian market to change their energy usage habits.It is also worth looking into an independent company WellAware. This company's technology offers end-to-end data to capture, monitor, and analyze datasets for oilfield intelligence from data collection to decision analytics. Raised $75M from investors like Activant Capital, Carlos Slim, and Dick Cheney. In conclusion, we can say that, despite some active participation from BigEnergy companies in recent years in funding the green transition (at least with venture money), we understand that still of CO2 in the world is produced from the use of fossil fuels. Therefore, we can expect even more proactive actions from those companies, especially given the recent . 92% new rules of the Net Zero Asset Owner Alliance

As Pressure Mounts, Energy Companies Turn to 7 Key Technologies to Tackle Emissions

Curve Ball

কার্ভ বল

Kurvenball

bola curva

Boule courbe

वक्र गेंद

カーブボール

커브볼

Bola curva

Eğri Topu

bóng cong

曲线球

Months of sky-high inflation, weak economic growth, and rate hikes have taken their toll on consumers and businesses alike. Fintechs, in particular, are feeling the pinch as growth slows. But there's one bright spot on the horizon: embedded finance (EmFi). What is EmFi? It's when financial services are integrated into other products and platforms, making them more accessible and convenient for users. While traditional fintechs are struggling, companies that offer fintech-as-a-service are thriving. And EmFi is the solution for businesses that want to offer financial services to their customers without all the hassle and expense of building a full-fledged fintech platform. EmFi recently made headlines when Solid, a startup that provides fintech-as-a-service solutions, Series B funding - not an easy feat in a downturn. million in raised $63 To better understand EmFi, and the value it can provide, let's look at some of the as-a-service solutions that make up this category. Banking as a Service Businesses that want to offer banking services, such as business and consumer checking accounts, can do so without having to obtain a banking license or build the complex financial infrastructure required to support those services. Instead, they can partner with a company that offers Banking-as-a-Service (BaaS). BaaS providers have the licenses, compliance expertise, and operations infrastructure needed to support a wide range of financial products and services. And they make it all available to businesses through APIs, so it can be easily integrated into their existing products and platforms. Payments as a Service Forget Platform-as-a-Service (PaaS). The new hotness in fintech is Payments-as-a-Service (PaaS). PaaS providers offer a complete payment solution that businesses can plug into their existing systems. This could include the ability to process ACH, Wire, Check and on-us transactions. What's more, PaaS providers may also handle fraud detection and prevention, all while providing real-time visibility into the status of transactions. This is a vital service for businesses that want to offer their customers the convenience of making payments directly from their product or platform. Card Issuance as a Service When checking out on Amazon.com, have you ever noticed that you can pay with an Amazon-branded card? Other businesses, like Delta, Starbucks, and ExxonMobil, have their own branded cards as well. Card issuance has traditionally been the domain of banks and credit card issuers. But with Card-Issuance-as-a-Service (CIaaS), businesses of all sizes can easily offer branded debit and prepaid cards to their customers. CIaaS providers handle all the back-end work, from card design and printing to program management and customer service. This frees businesses to focus on what they do best: selling their products and services. Crypto as a Service Crypto startups are suffering. With $3 trillion wiped off the value of cryptocurrencies this year, it's difficult for these businesses to afford to build the infrastructure needed to support their products and services. Fortunately, there's a solution: Crypto-as-a-Service (CaaS). CaaS providers offer the infrastructure, compliance, and security necessary for businesses to launch and operate cryptocurrency products and services. This includes everything from custody and liquidity to transfers and even crypto cards. And because CaaS providers handle all the heavy lifting, businesses can focus on what they do best: innovating and building great products. The Growth of the as-a-Service Model SaaS, or software-as-a-service, was one of the first as-a-service models to gain traction. And today, it's a . $240 billion industry Some of the earliest adopters of the as-a-service model were companies like Salesforce and Workday. These companies saw an opportunity to provide businesses with on-demand access to enterprise software, without the need for complex on-premises infrastructure. The success of SaaS paved the way for the as-a-service model to be applied to other industries, including fintech. Several trends have converged to make this possible, including the rise of APIs, the growth of cloud computing, and the proliferation of mobile devices. As a result, we're seeing an explosion of as-a-service offerings in fintech, from BaaS and PaaS to CaaS. This trend is only going to accelerate in the years to come, as more businesses recognize the benefits of the as-a-service model. The Future of Fintech The Gartner hype cycle for fintech is peaking. But while the hype may die down, the underlying trends that are driving it – such as the shift to digital channels and the need for faster, more convenient financial services – are here to stay. Businesses won't suddenly stop demanding innovative financial solutions. They'll just be more selective about who they partner with to provide those solutions. Executives are facing tough decisions about where to allocate their limited resources. And that's where embedded finance comes in. By offering a wide range of financial services through APIs, embedded finance providers can help businesses of all sizes offer convenient, user-friendly financial products and services to their customers – without all the hassle and expense.

Embedded Finance is a Liferaft in the Recession

Samsung, the electronics behemoth, may be on its way to becoming one of the most important players in Web3. Samsung has become through several partnerships and announcements over the last few years, as well as large investments. entwined with the Web3 ecosystem Samsungs Web3 Moves The 837X metaverse, the integration of the blockchain protocol Pass, the NFT gallery television, and even a reforestation project are among the company's recent blockchain and Web3 ventures. Adopting and integrating blockchain technology appears to be a top priority for large corporations lately. According to , Samsung is the 14th largest company in the world, larger than ExxonMobil, Verizon, and Walmart. The communications conglomerate is a powerful and influential figure on a global scale. Companies like this, which are taking part in Web3, are just one of the reasons why the blockchain industry is booming. Forbes Samsung and NFTs Samsung has with a number of physical retail outlets to help expand the utility of the New Galaxy NFTs. Samsung introduced this collection earlier in 2022, giving it to customers who pre-ordered certain products. Through these NFTs, the company intends to provide a wide range of utilities, including off-chain rewards and discounts. signed agreements Samsung executives have been outspoken about their views on mainstreaming blockchain and Web3 technologies. "By providing practical services to NFT-holding customers, customers will gain in-depth consumer experience with digital assets." This was the most recent official , following Samsung's Pass integration. comment This recent announcement was made possible thanks to a collaboration with , a blockchain company specializing in decentralized video API. Theta Labs Pass Identity Integration Samsung Blockchain Keystore is compatible SK Telecom's Pass security solution. Samsung previously implemented its own blockchain solution to improve phone security, which is inaccessible to the rest of the Android operating system. Keystore gives the consumer control over their data and private information, as well as a secure location to store private keys. with Samsung Blockchain The Keystore area not only isolates and protects the information, but it is also invisible to the device's Android OS and is not saved to any external clouds. The Pass security solution will improve the security and usability of these Samsung tools. The Pass solution, which is based on identity and privacy, was developed by South Korea's big three mobile operators. The ability to control personal information is the most appealing feature of the service, which is used by over a million people. Pass allows people to prove their age without revealing all of the information on their ID, as well as other similar acts that protect the consumer's identity. Blockchain integrations in cell phones will be one of the most important aspects of mainstream adoption, and a partnership with one of the world's most popular project providers is an ideal fit. Blockchain offers a convenient and simple solution that will be available to anyone. NFT TV Displays As the NFT craze grew in 2021, many businesses sought to capitalize on the new digital asset's popularity. Samsung took a slightly different approach. Samsung announced an NFT television that would function as an art gallery in early 2022. For this innovative physical product, the company formed yet another blockchain partnership with . Nifty Gateway Nifty Gateway, an Ethereum-based NFT marketplace, was acquired by Gemini Exchange in 2019. The partnership brings the Nifty marketplace to Samsung's new smart TVs. This not only enables a beautiful and convenient display of NFT collections, but also allows for marketplace buying, selling, and trading. The Nifty Gateways custodial wallet is used, and credit/debit cards are also accepted. Samsung even collaborated with the world-renowned auction house Sotheby's to display art for sale at events. This was first tried in New York, where works by Andy Warhol and Alvar Aalto were on display. Sotheby's has previously auctioned NFTs, including work by CryptoPunks and DrifterShoots, making them an ideal partner to launch that NFT display TV. Traditional art is a great addition to TVs, removing the need for expensive work to be hung on the wall while maintaining quality. For over sixteen years, Samsung has been at the of the television industry and is one of the world's largest electronics companies. One of the quickest ways to bring on global adoption of NFTs is to integrate them into products that everyone on the planet already uses and owns. top Samsung Partners With Blockchain For Reforestation Samsung has committed to planting two million coastal mangroves as part of a Madagascar project in the first quarter of 2022. The company collaborated with a blockchain-based firm to trace and track the initiative's progress. reforestation boasts that two million trees were planted, 200 hectares were restored, and over 430,000 tons of CO2 were sequestered from the atmosphere. The 200 Hectares of land will provide approximately 4,000 days of work for local tree workers, while the carbon dioxide levels captured naturally from the air are equivalent to removing nearly 100,000 cars from the road for an entire year. Veritree Veritree and Samsung provide widespread and long-term environmental benefits, demonstrating genuine initiative not only to adopt blockchain technology but also to assist the environment. Communications Giant Builds Inside The Metaverse Samsung and Decentraland joined together to create their own tiny portion of the metaverse at the beginning of January 2022. Samsung jumped into Decentraland's land-buying and construction program right away. Just two months after its debut, the experience had more than 100k users visit it, and it became more well-known thanks to its connection to the South Korean company. 837X metaverse To access 837X, users must first sign up for a Decentraland account. After signing in, the avatar will be deposited in front of Samsung's virtual 837X building. Then you can go through the doors and fully immerse yourself in the digital world. In addition to the virtual experience, the metaverse includes wearables and NFTs. The business even started a Discord group for the game. It's always encouraging to see such large organizations taking the Web3 arena so seriously by making wallet integrations on Decentraland secure and simple with Metamask. Samsung has a long history of investing in the blockchain-based industry and has a number of relationships in the area. Samsung has a hand in everything, from NFTs and metaverses to markets and developer tools. Big Web3 Investments Samsung's blockchain investments are typically made through and the company has a sizable blockchain portfolio. The following are some of Samsung's most notable investments in blockchain and Web3. Samsung Next, Yuga Labs Axie Infinity Sandbox Dapper Labs FTX Nifty Gateway Theta Labs SuperRare Bitfusion MachineFi Samsung has been investing heavily in the space, and it does not appear to be slowing down anytime soon. The industry requires massive, global corporations to enter the space from all sides. Investing, partnering, and sincerely believing in the technology are all extremely positive indicators for the future of the digital asset space. Also published here.

Samsung and Web3: A Budding Love Story 

Artificial intelligence does all kinds of things….genomics comes to that as well. Genetic engineering has always been a go-to plot twist in sci-fi movies and TV shows. The idea of genetically mutated humans with superior abilities and unique DNAs still has ripple effects on Marvel fans and box offices. But what if we can alter genes in real life? has been doing that since 2012 (no Wolverine or Magneto though). In 2022, this powerful genetic engineering technique is complemented with artificial intelligence. CRISPR gene editing By joining these forces, we can get the all-time best appearances of CRISPR and revolutionize the healthcare industry. Today, I’ll go over the nuts and bolts of AI-powered gene engineering and demonstrate the difference machine intelligence makes, using one of my company’s projects as an example. Basics of genome editing In layman’s terms, genome editing is a technology that enables scientists to modify the DNA of organisms, be it plants, animals, or humans. It involves altering the DNA sequence of a gene to correct a genetic disorder or to make a change in the gene that confers resistance to disease. The development of CRISPR-based genome editing tools has revolutionized this field, making it easier and faster to modify genes. Therefore, since 2012, or just CRISPR, which is a unique “ ” tool to modify genomes. gene engineering has been mostly associated with CRISPR-Cas 9 cut-and-paste CRISPR-Cas9 has a massive application area. Thus, it can silence or activate genes, as well as remove or introduce new ones. So far, this technique has already been used to treat a variety of disorders, including and infections. Also, CRISPR has been used to suppress populations to curb malaria and enhance crop climate resilience in . cancer mosquito engineering agriculture As for potential use cases, also counts on gene modification to produce algae biodiesel by 2025. CRISPR fares well for minimizing genetic disorders, treating and preventing the spread of diseases, and improving crop performance. ExxonMobil CRISPR has a problem But if it’s all rainbows and butterflies with CRISPR, why am I even writing this? The answer is simple: **CRISPR Cas9 is not the savior we hope it is. A suggests that along with positive DNA changes, CRISPR is also guilty of occasional unintended genetic alterations. Thus, errant on-site edits genome editing outcomes are present in around of the analyzed human cells. growing body of evidence 16% It means that the off-target effect can change a gene's function and cause chromosomal instability, limiting the gene's potential and application in clinical procedures. Moreover, the editing performance of this technique can be impacted by a slew of factors and reduce the number of successfully edited cells. And this is where genetic engineering and artificial intelligence collide. AI and genetic engineering: a powerful duo Artificial intelligence and its off-shoots are usual suspects when it comes to trailblazing solutions and breakthroughs. Genomics is no exception. Thanks to the analytical and predictive capabilities, AI technologies save the day and lives by amplifying the editing power of CRISPR. Let’s go over the main areas where AI chips in with meaningful patterns and algorithms. Gene editing As I pointed out above, CRISPR Cas9 is a traditional gene-editing tool that corrects gene defects, thus treating a disease. The success of this undertaking stems from targeting the right cells and the right tissue. However, the probability of unexpected cleavage prevents the en masse adoption of CRISPR and overshadows its potential. Off-target mutations have long been a subject of research. As a result, scientists produced multiple scoring systems that evaluate target and off-target effects. However, the majority of existing cannot factor in the evolving CRISPR-Cas9 data for continuous self-learning. off-target prediction methods Most importantly, traditional scoring tools do not analyze “the potential relationships between mismatched and matched sites, which may affect the off-target activity in CRISPR-Cas9 gene editing.”[1] And this is where artificial intelligence steps in. It makes CRISPR Cas9 more accurate by predicting both the target and off-target effects with an unrivaled accuracy score ( ). From a technical standpoint, both deep neural networks and ML algorithms can be applied to produce predictions. around 97% To train the model, engineers typically feed the algorithm with off-target datasets, such as CRISPOR one, for performance benchmarks. Additional evaluation is also much welcome and can be done by adding another off-target dataset. A is a prominent example of AI casually rescuing the accuracy of gene editing. The tool allows scientists to locate the best sites for gene editing, while also reducing the possibility of side effects. computational model by Microsoft Genome sequencing Since some illnesses can be caused by one’s genetics, scientists have been trying to look into our genetic makeup for years. Genome sequencing is what supports the research and helps better determine the complete DNA sequence or makeup of an organism’s genome. Currently, the technology has been used in some medical applications, including prenatal diagnostics and cancer treatment. Sequencing is used to identify genetic variants and mutations, which may be associated with health conditions or diseases. Last year, the first draft human genome sequence celebrated its . This long period of research has resulted in an influx of an unprecedented amount of genomic data. Within the next decade, genomics research will produce between exabytes of data, thus stalling the progress. 20th anniversary 2 and 40 Luckily, complex and gargantuan data analysis is the exact speciality of artificial intelligence and machine learning. By automating genomic data processing, researchers can interpret and act on genomic data in a fraction of the time. Conversely, the traditional gene panel analysis can guzzle up around two weeks to return results.** To put the speed of AI analysis into perspective, This landed them into the Record for the fastest DNA sequencing tool. researchers from Stanford University, NVIDIA, and others have built an AI method to do DNA sequencing in 5 hours and 2 minutes. Guinness World Besides lightning-fast data processing, artificial intelligence can help identify variants in the DNA sequence. These variants can be linked to diseases or inherited conditions. Algorithms can also be used to predict how a person will respond to a particular medication based on their genetic makeup. With these insights, researchers gain a better understanding of effective treatment, susceptibility, and disease-causing mutations. On the same line, This unique technology enables direct analysis of long DNA or RNA fragments. Conversely, a slow analysis could lead to decreased survival chances for patients with sepsis and other urgent conditions. real-time nanopore DNA sequencer processing has long remained a challenge for genomics. I’m honored to say that our team had a hand in building a trailblazing solution that solved the challenges of real-time nanopore sequencing. Together with Allen Day, who is a data scientist and senior developer advocate from Google Cloud Platform, we developed a analysis application that detects biocontominants, antibiotic-resistant genes, etc. real-time DNA sequence Thanks to comprehensive data visualization, medical experts can then make a data-driven decision on a patient treatment plan. The code is available on . GitHub While the implications for human health have received a lot of attention, . genetic sequencing and analysis could also be revolutionary in agricultural and animal husbandry Predictive Genetic Testing & Preventive Medicine Genetic testing is nothing new - but the combination of predictive genetic testing and artificial intelligence is an exciting new development. When it comes to predicting whether or not you may develop a particular disease, predictions are typically very inaccurate.** However, with the help of artificial intelligence, this may no longer be the case. Thus, researchers from Sutter Health and the Georgia Institute of Technology are using to analyze electronic health data to . This way, we’re stepping toward a proactive medical approach, instead of leaving it reactionary. deep learning avert heart failure Another example is a team from MIT that developed a for The algorithm can quickly identify and screen for early-stage melanoma. The latter is responsible for over 70% of skin cancer-related deaths worldwide.** deep learning algorithm preventive melanoma treatment. is now also amplified with intelligent algorithms. Thus, researchers built a machine learning tool that performs As a result, quick and accurate analysis can accelerate the diagnosis of genetic syndromes in children. Moreover, artificial intelligence can predict outcomes and the risks that stem from curing genetic diseases, based on available data.** ** Genetic screening of newborns Children’s National Hospital rapid genetic screening. The future of healthcare is data intelligence As it’s clear from my post, the synergy between healthcare is present in all medical fields. The application of artificial intelligence for genomic data promises to help researchers better understand the complex genomic profiles of different organisms. AI and With the help of AI, biologists will be able to take on more ambitious genomics projects and also to more quickly analyze the results of their experiments. The combination of big data and machine learning can help identify patterns in genomic data that otherwise would be difficult for humans to discern. Ultimately, AI and machine learning will accelerate our understanding of our genetic makeup and those of other living organisms. Lin J, Wong KC. Off-target predictions in CRISPR-Cas9 gene editing using deep learning. . 2018;34(17):i656-i663. doi:10.1093/bioinformatics/bty554 Bioinformatics

Have You Heard? AI Can Edit Genes Now

¿Has oído? AI puede editar genes ahora

As-tu entendu? L'IA peut modifier les gènes maintenant

क्या आपने सुना है? एआई अब जीन संपादित कर सकता है

聞いてますか？ AI は遺伝子を編集できるようになりました

Você já ouviu? AI pode editar genes agora

Bạn đã từng nghe? AI có thể chỉnh sửa gen ngay bây giờ

你有没有听见过？ AI现在可以编辑基因

Russia is increasingly isolated politically and economically, and countries are not the only parties choosing to flex their economic might. Recently, some major companies have implemented their own forms of economic sanctions. But this begs the question: Are these companies’ actions a sign they are too big for their own good? Nearly half of professionals in the U.S. (45%) say they do not support the recent bans of Russian state media companies by major social media companies, according to a on the Blind. More than one in four respondents (27%) said they only supported “censorship” if required by a court or legal order. recent user-initiated poll professional social network Earlier this week, internet giants, including Google-owned YouTube, Meta-owned Facebook, and TikTok, blocked channels and profiles connected to the Russian state media outlets RT and Sputnik in Europe amid the ongoing conflict between Russia and Ukraine. In the same poll on Blind, the remaining 28% of respondents said they supported companies deciding to “censor” as they see fit. “Businesses are free to refuse content that they disagree with, especially when that content is government produced,” said a verified Credit Karma professional. “I do not support government compelled speech.” The professional at the company described the recent corporate actions as “non-government private actors making decisions for their own property.” The user continued: “It’s called liberty.” financial-technology Others expressed concern with the exercise of what some call the outsized geopolitical influence of companies sanctioning another country as a government might. “Big tech flexing their power into politics is such a dangerous and recent thing we have to accept,” - verified Workday professional The growing list of companies sanctioning Russia At least two dozen major private companies and organizations have stopped business or limited access to their goods or services in Russia. Some of the global companies include: Airbnb Apple Airbus Boeing BP Daimler Truck Disney EA Sports Equinor ExxonMobil FedEx Ford GM Harley-Davidson HSBC International Olympic Committee and other major sports governing bodies, including FIFA Maersk Mastercard Meta Microsoft Netflix PayPal Reddit Shell Snap Societe Generale TikTok Twitter UPS Visa Volvo WarnerMedia The wide breadth of the companies involved, including many large U.S. , has also led to criticism from some technologists as evidence of a “big tech monopoly.” technology companies “All my thoughts and prayers are with [the] people of Ukraine,” a verified Airbnb professional said on Blind. “But this censoring is not going to help them [Ukrainians] and sets a wrong precedent for future cases,” citing the actions taken by Facebook, Google, Mastercard, Netflix, PayPal-owned Venmo and Visa. In the end, the issue may be a problem of our own collective doing. “I’d say they are intentionally performative,” an anonymous verified professional said on Blind, referring to the many companies’ decisions to sanction Russia. “Tech companies should not be the judge of anything or step into politics, but everyone expects [from] them some kind of social responsibility to do the right thing. This means they have to do something to make the crowd not mad.” The bottom line The conflict between Russia and Ukraine has extended beyond the borders of Europe, and companies increasingly have a say. The professional social network Blind found that some U.S. tech giants’ recent decisions to sanction Russia have drawn the concern of some technologists about the influence these companies command. Also published on Teamblind's blog

Do Some Tech Companies Have Too Much Influence? - Lessons From the Russia-Ukraine Conflict 

¿Algunas empresas tecnológicas tienen demasiada influencia? - Lecciones del conflicto Rusia-Ucrania

Certaines entreprises technologiques ont-elles trop d'influence ? - Les leçons du conflit russo-ukrainien

क्या कुछ टेक कंपनियों का बहुत अधिक प्रभाव है? - रूस-यूक्रेन संघर्ष से सबक

一部のテクノロジー企業は影響力が強すぎますか? - ロシア・ウクライナ紛争からの教訓

Algumas empresas de tecnologia têm muita influência? - Lições do conflito Rússia-Ucrânia

Một số công ty công nghệ có ảnh hưởng quá nhiều không? - Bài học từ xung đột Nga-Ukraine

一些科技公司的影响力是否太大？ - 俄罗斯-乌克兰冲突的教训

“If you can look into the seeds of time, and say which grain will grow and which will not speak then unto me.” -William Shakespeare If you have your ear to the ground tech-wise you'll know that four pieces of tech have been making huge rotations -Blockchain, AI, IoT, and Quantum computers. In this article, we're going to be talking about quantum computers, what they mean, how they work, how they will be used, and where they are right now. Photo credits: IBM What are Quantum Computers? According to , quantum computers are devices that harness the collective properties of quantum states, such as superposition, interference, and entanglement, to perform calculations. Wikipedia To fully understand quantum computers you must understand quantum physics(at least a watered-down version of it 😅). I tried to use as many simple words as possible, but If at any point in time during my explanations you don't understand anything remember this quote by , the father of quantum computers - . Richard Feynman "If anyone tells you they understand quantum mechanics then they don't understand quantum mechanics" In essence, no one understands quantum physics, even the pioneers. Quantum physics is physics that deals with the behaviour and interaction of particles (i.e protons, electrons etc) in the quantum realm and how they affect our physical world. Now when the concepts of quantum physics are used to manipulate particles to perform computation, quantum computation comes about and this then brings about quantum computers. In simple words, quantum computers are computers that make use of quantum physics concepts to process data and output it as information the same way normal computers work but with atomic particles. How do Quantum Computers Work? photo credits: IBM To fully understand how quantum computers work and perform processing, you must first understand how classical computers process data. Classical computers process data through binary (i.e 0s and 1s, on or off), these 0s and 1s are designed and implemented into something called which are at the core just simple rules which guide the use of 0s and 1s to process data. logic gates Now for a computer to physically process data they make use of things called , transistors are just the physical implementation of a lot of logic gates that are designed to perform the processing of commands/data. transistors For instance, you have a doorbell, the circuit which helps the doorbell work is made of a bunch of transistors that are arranged (designed) in such a way that once you ring a doorbell the sound is then played for people to hear. Now the relationship between transistors and logic gates is at the core similar to a sketch by a sculptor before he starts to sculpt. So logic gates are just like a way to sketch out how transistors will be arranged in a system(like a computer, phone, watch, camera, etc) and then the transistors designed are then implemented in the physical system(computer, phone, watch, camera, etc) using transistors. Now at the core, Quantum Computers work in a somewhat similar way to normal/classical computers. but instead of using binary (0s and 1s) as normal computers do, they make use of something called Qubits, Qubits are just like bits(these are 0s and 1s) are for normal computers. I'm going to explain Quibits using an analogy, normal computer's bits(0s and 1s) are like a coin with 2 faces with 0 being one face(maybe heads) and 1 being another face(maybe tails), now when a computer processes data imagine the coming being tossed and it can land on either heads(0) or tails(1) and that is how in non-esoteric terms how classical computers work. Now for quantum computers, imagine instead of having 0s (heads) and 1s(tails) the Qubit is both a 0 and 1 at the same time (weird? I know😅), So where a normal computer has 2 bits (0s and 1s) a quantum computer has one bit which can do the job of both 0s and 1s because it can be both of them at the same time. Remember our earlier definition of quantum computers where I said . quantum computers are computers that process data by manipulating quantum particles using concepts from quantum physics Now quantum computers can be both 0s and 1s at the same time due to a concept in quantum physics called , this is a notion that tiny objects can exist in multiple places or states simultaneously. This might be a bit complex or at most scary but it explains how a qubit can be both a 0 and 1 at the same time. superposition Going back to our earlier coin analogy, where a classical computer's bits are like a coin with 2 faces, each representing one bit(0 and 1). A quantum computer is like a coin that is spinning. It is both faces of the coin (0 and 1) at the same time. Now quantum computers are not made up of monitors, keyboards, etc so it doesn't process data the way a normal computer does but rather it works like this - a problem is given to a quantum computer and then the same way normal computers design logic gates to process data the quantum computer designs logic gates suited to the problem and then it implements qubits which are then used to solve the problem. To know more about Quantum Logic gates, read this article Challenges Facing Quantum Computers Photo credits: IBM Algorithms For quantum computers or computation of any sort to succeed, algorithms are needed. Algorithms are simply a set of rules which are followed for something to be achieved. Quantum computers are slated to be faster at solving real-life problems than supercomputers ever will be, but for them to solve these said problems they need algorithms and these currently are in short supply because of how complex quantum computers are. But slowly we are getting there, research is going on for algorithms that can be optimized on quantum computers. Stabilizing and Scaling For quantum computers to achieve their goals efficiently you need a lot of qubits. But for qubits to work efficiently you need them to be in a constant state but freezing them in this state requires a lot of resources and therefore it is extremely resource-intensive, now imagine, for you to solve a large computing-intensive task which quantum computers are optimized for have to build and maintain thousands of qubits. superposition Fortunately, research on stabilizing qubits(quantum bits ) is progressing, to know about the current state of this research, read . this article Spooky Nature For quantum computers to go mainstream i.e for quantum computers to achieve the large goals which it is being slated to solve like efficient weather forecasting, space exploration, atomic particle modelling, data simulation etc people have to build algorithms for it. For people to build algorithms for quantum computers then people have to understand how quantum computers work but the thing is quantum computers are built on quantum mechanical concepts and understanding quantum mechanical concepts isn't exactly like reciting your ABCs. Fortunately, people are becoming more aware of quantum computers so gradually it is expected that information and tutorials on quantum computers will go mainstream. Companies Involved in Quantum Computing SOURCE: zdnet Atom Computing is a quantum computing hardware company specializing in neutral atom quantum computers. Atom Computing While it is currently prototyping its first offerings, Atom Computing said it will provide cloud access "to large numbers of very coherent qubits by optically trapping and addressing individual atoms," said Ben Bloom, founder and CEO. The company also builds and creates "complicated hardware control systems for use in the academic community,'' Bloom said. Xanadu Xanadu is a Canadian quantum technology company with the mission to build quantum computers that are useful and available to people everywhere. Founded in 2016, Xanadu is building toward a universal quantum computer using silicon photonic hardware, according to Sepehr Taghavi, corporate development manager. The company also provides users access to near-term quantum devices through its Xanadu Quantum Cloud (XQC) service. The company also leads the development of PennyLane, an open-source software library for quantum machine learning and application development, Taghavi said. IBM In 2016, IBM was the first company to put a quantum computer on the cloud. The company has since built up an active community of more than 260,000 registered users, who run more than one billion every day on real hardware and simulators. In 2017, IBM was the first company to offer universal quantum computing systems via the IBM Q Network. The network now includes more than 125 organizations, including Fortune 500s, startups, research labs, and education institutions. Partners include Daimler AG, JPMorgan Chase, and ExxonMobil. All use IBM's most advanced quantum computers to simulate new materials for batteries, model portfolios and financial risk, and simulate chemistry for new energy technologies, the company said. By 2023, IBM scientists will deliver a quantum computer with a 1,121-qubit processor, inside a 10-foot tall "super-fridge" that will be online and capable of delivering a Quantum Advantage -- the point where certain information processing tasks can be performed more efficiently or cost-effectively on a quantum computer, versus a classical one, according to the company. ColdQuanta ColdQuanta commercializes quantum atomics, which it said is "the next wave of the information age." The company's Quantum Core technology is based on ultra-cold atoms cooled to a temperature of nearly absolute zero; lasers manipulate and control the atoms with extreme precision. The company manufactures components, instruments, and turnkey systems that address a broad spectrum of applications: quantum computing, timekeeping, navigation, radiofrequency sensors, and quantum communications. It also develops interface software. ColdQuanta's global customers include major commercial and defense companies; all branches of the US Department of Defense; national labs operated by the Department of Energy; NASA; NIST; and major universities, the company said. In April 2020, ColdQuanta was selected by the (DARPA) to develop a scalable, cold-atom-based quantum computing hardware and software platform that can demonstrate quantum advantage on real-world problems. Defense Advanced Research Projects Agency Zapata Computing empowers enterprise teams to accelerate quantum solutions and capabilities. It introduced , an end-to-end, workflow-based toolset for quantum computing. Zapata Computing Orquestra In addition to previously available backends that include a full range of simulators and classical resources, Orquestra now integrates with Qiskit and IBM Quantum's open quantum systems, Honeywell's System Model HØ, and Amazon Braket, the company said. The Orquestra workflow platform provides access to Honeywell's HØ, and was designed to enable teams to compose, run, and analyze complex, quantum-enabled workflows and challenging computational solutions at scale, Zapata said. Orquestra is purpose-built for quantum machine learning, optimization, and simulation problems across industries. Azure Quantum Recently introduced Azure Quantum provides a "one-stop-shop" to create a path to scalable quantum computing, Microsoft said. It is available in preview to select customers and partners through Azure. For developers, Azure Quantum offers: An open ecosystem that enables access to diverse quantum software, hardware, and offerings from Microsoft and it partners: 1QBit, Honeywell, IonQ, and QCI. A scalable, and secure platform that will continue to adapt to our rapidly evolving quantum future. An ability to have a quantum impact today with pre-built applications that run on classical computers -- which Microsoft refers to as "quantum-inspired solutions." D-Wave Founded in 1999, claims to be the first company to sell a commercial quantum computer, in 2011, and the first to give developers real-time cloud access to quantum processors with , its quantum cloud service. D-Wave Leap D-Wave's approach to quantum computing, known as quantum annealing, is best suited to optimization tasks in fields such as AI, logistics, cybersecurity, financial modelling, fault detection, materials sciences, and more. More than 250 early quantum applications have been built to date using D-Wave's technology, the company said. The company has seen a lot of momentum in 2020. In February, D-Wave announced the launch of , which introduced new tools and features designed to make it easier for developers to build bigger applications. In July, the company expanded access to Leap to India and Australia. Leap 2 In March, D-Wave opened free access to Leap for researchers working on responses to the COVID-19 pandemic. In September, the company launched Advantage, a quantum system designed for business. Advantage has more than 5,000 qubits, 15-way qubit connectivity, and an expanded hybrid solver service to run problems with up to one million variables, D-Wave said. The advantage is accessible through Leap. Strangeworks , a startup based in Austin, Texas, claims to be lowering the barrier to entry into quantum computing by providing tools for development on all quantum hardware and software platforms. Strangeworks launched in March 2018, and one year later, deployed a beta version of its software platform to users from more than 140 different organizations. Strangeworks Strangeworks will open its initial offering of the platform in Q1 2021, and the enterprise edition is coming in late 2021, according to Steve Gibson, chief strategy officer. The Strangeworks Quantum Computing platform provides tools to access and program quantum computing devices. The Strangeworks IDE is platform-agnostic, and integrates all hardware, software frameworks, and supporting languages, the company said. To facilitate this goal, Strangeworks manages assembly, integrations, and product updates. Users can share their work privately with collaborators, or publicly. Users' work belongs to them and open sourcing is not required to utilize the Strangeworks platform. Summary Quantum Computing is still a relatively young field open for innovation and new ideas. It's also pretty fascinating once you understand the definition of most of its core concepts like , etc. superposition entanglement Quantum computers are still a relatively theoretical field as it hasn't yet started achieving all which it's slated to achieve but it is going to be the future of computing, when is the question. Co-published here: https://edemgold.blog/quantum-computers-in-a-nutshell

Stories, News & Mentions about EXXONMOBIL

Categories

Trending Topics

Stories, News & Mentions about EXXONMOBIL

Exxonmobil’s Stories on HackerNoon

Exxonmobil's News & Mentions

Categories

Trending Topics