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Northrop Grumman Corp. stock outperforms competitors despite losses on the 
day

Northrop Grumman introduces its first completed prototype Manta Ray Uncrewed Underwater Vehicle (UUV) that it is developing for DARPA. The extra-large submarine glider is designed to carry out long-range undersea missions without human assistance.

Northrop Grumman debuts Manta Ray robotic underwater glider

The U.S. Navy&#x27;s future fleet may transition from traditional warships and submarines to a more innovative force featuring Uncrewed Underwater Vehicles (UUVs) like the &quot;Manta Ray.&quot;

Northrop Grumman Manta Ray Could be the Future of the U.S. Navy | The National Interest

Air Force Secretary Frank Kendall said the service is also building the support facilities and simulators and sets up training the B-21 program will need.

US Air Force reports lower B-21 costs after negotiations with Northrop

Northrop Grumman (NYSE: NOC) announced the company is gifting its James Webb Space Telescope full-scale model to the Space Foundation. With this gift, the model will be permanently displayed at Space Foundation Discovery Center in Colorado Springs.

Northrop Grumman Gifts James Webb Space Telescope Full-Scale Model to the Space Foundation in Colorado Springs

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Northrop Grumman successfully completes construction of Manta Ray UUV - Defence Connect

An image — darkened along the edges and sporting a sparse backdrop — shows its glider-like body and a rounded nose. Little can be seen of the tail.

Northrop completes Manta Ray underwater drone prototype

American defense contractor Northrop Grumman says it completed its uncrewed underwater vehicle (UUV) called Manta Ray, test possible this year

America Readies a Deep Dive, Long-Range Underwater Drone Called Manta Ray, This Is It - autoevolution

The first full-size prototype of Manta Ray, an advanced uncrewed underwater vehicle (UUV) produced by DARPA, has been revealed in new photos.

Look: New Images Unveil DARPA’s ‘Manta Ray’ Extra-Large Glider for Non-Crewed Undersea Missions - The Debrief

The new class of Manta Ray Uncrewed Underwater Vehicles takes its name by the large &quot;winged&quot; fish that frequents the tropical waters.

Northrop Grumman Unveils Prototype Of Manta Ray Uncrewed Underwater Vehicle - The Aviationist

Northrop Grumman

northropgrumman

AI technology is firmly carving out a niche in defense technology. News reports refer to partnership agreements between large defense technology corporations such as Northrop Grumman, Lockheed Martin, Raytheon, and startups in Artificial Intelligence/Machine Learning (AI/ML), Image Intelligence (IMINT) Recognition, Battlefield Awareness, Multi‐Domain Battle Management Team (MBMT) Mobility Platform, Tactical Augmented Reality (TAR), Radio Frequency and Wireless Surveillance (RFWS) Systems. At the same time, defense startups like Palantir and Anduril, which have relied on the use of AI since their inception, have now emerged as major game-changing market players. Undoubtedly, this trend will continue in the future and we will soon see significant changes in the direction of enhanced national security and deployed defense technologies. As proof, Project Maven, announced in 2017 according to various sources, is being tested in combat use in military conflicts in Ukraine and Israel. A wearable mobile platform with a high-performance computing module within the Soldier-as-Sensor concept is expected to complement the Battlefield Management System (BMS) and Joint All-Domain Command and Control (JADC2) ecosystems. At least a few defense agencies periodically publish innovation requests for these and related research and technology areas in the prototype stage. Today's highly mobile battlefield threats and higher demands on the cognitive capabilities of operators are driving the need to act simultaneously on multiple fronts. Everyone is required to have accurate Tactical Situational Awareness, Friend-or-Foe Identification, Synthetic Day/Night Vision, BLOS Communications, Sensors, Signal Intelligence, RF Wideband Digital Beamforming, and be an element for sharing this information in peer-to-peer networks. Until recently, some technological limitations have prevented the creation of a convenient mobile platform with dimensions that would allow a person to wear an electronic device for extended periods. For several years, Microsoft tried to adapt its HoloLense 2 device for the IVAS defense project. However, immersive technologies (AR/MR) designed for entertainment, education and training are not well-suited for the military. At Furtherium, my team and I initially created the concept of AI-powered Tactical Situational Awareness Mobility Platform primarily for the military, security forces, rescuers, and firefighters. The key advantages of this technology are its compact design, fast performance, integration of all important functions, and affordable price. And a special feature is the application of several AI technologies on a local device. I founded Furtherium in 2021 and started developing an integrated product ARHUDFM (Augmented Reality Head-Up Display Fullface Mask) - Hardware modules, SaaS and Healthcare modules. Several detection and recognition functions cover visual information in the visible and infrared spectrum, sound and radio frequency waves over a very wide range, passive radar signatures and an EOD scanner for explosive detection. The core of the technology is not only pre-trained Machine Learning models, but also neural network generative AI models that are trained together with each user. For this purpose, advanced CPU and NPU technologies are used in each device. You could say this is the next step in using generative AI in mobile platforms, focused not only on defense applications, with huge dual-use potential. Fine-tuning a local model on a user's device still looks unfamiliar right now, but that's the future. In addition to the key goals of detection and recognition, other basic functions are Omnichannel Messenger, Media Capture and Exchange, Ballistic Fire Assistant and Spotter, Multi-Domain Operations, RC Universal Controller for drones and robots. You don't have to look into the future to understand the trends, just open YouTube and see for yourself the training programs at the U.S. Marine Corps and Army. I'd like to share the new YouTube video we created that demonstrates the capabilities of my startup's mobile platform, controlled primarily by a voice assistant that adapts to each user. https://www.youtube.com/watch?v=kIUt2jbYHMs&embedable=true It seems natural and logical now, but we didn't come to this immediately, it took several years of research into behavioral capabilities, cognitive constraints, tactical documentation and the capabilities of different electronic component architectures. The technical requirements of the military are very different from civilian applications. This applies not only to Hardware, but also to Software, including how generative AI models should be used, what criteria they are required to meet. Many features must be considered when designing for military applications: Night Vision and Augmented Reality without outward illumination, protection against ionizing radiation, main and backup power system, battery life, active cooling, shock wave and fragments exposure, encryption and hopping frequencies for data exchange, reduced traffic while maintaining data quality. It would be wrong to think about the protection of the device and not provide for the protection of the user. For this purpose, several options are created simultaneously for hearing protection and protection against concussion, eye and face protection, respiratory protection, built-in drinking system, automatic tourniquets to stop acute bleeding. Sensors in the user's arms, legs, back, and chest allow health monitoring during exercises, training, and tactical missions. SAM (Serviceable Addressable Market) for this technology estimates exceed $31B and include markets in over 32 NATO countries and its allies. Amid the Research, Development, Test & Evaluation budget of the U.S. DoD alone of $148B this looks promising. Military innovation budgets are on the rise, that's another trend today. My startup's project involves integrating products from companies such as Palantir, Anduril, Teledyne FLIR, Shield AI, Epirus, Elbit Systems, Raytheon, Northrop Grumman, and Thales Group. Combining non-competing systems creates unique synergies. I am also pleased to announce that we are close to raising funds. Investors are expected to include companies with expertise in the Defense and Security area. More Details Furtherium, Inc. | Website | Wiki | Community | Pitch Deck AI technology is firmly carving out a niche in defense technology. News reports refer to partnership agreements between large defense technology corporations such as Northrop Grumman, Lockheed Martin, Raytheon, and startups in Artificial Intelligence/Machine Learning (AI/ML), Image Intelligence (IMINT) Recognition, Battlefield Awareness, Multi‐Domain Battle Management Team (MBMT) Mobility Platform, Tactical Augmented Reality (TAR), Radio Frequency and Wireless Surveillance (RFWS) Systems. At the same time, defense startups like Palantir and Anduril, which have relied on the use of AI since their inception, have now emerged as major game-changing market players. Undoubtedly, this trend will continue in the future and we will soon see significant changes in the direction of enhanced national security and deployed defense technologies. As proof, Project Maven, announced in 2017 according to various sources, is being tested in combat use in military conflicts in Ukraine and Israel. A wearable mobile platform with a high-performance computing module within the Soldier-as-Sensor concept is expected to complement the Battlefield Management System (BMS) and Joint All-Domain Command and Control (JADC2) ecosystems. At least a few defense agencies periodically publish innovation requests for these and related research and technology areas in the prototype stage. Today's highly mobile battlefield threats and higher demands on the cognitive capabilities of operators are driving the need to act simultaneously on multiple fronts. Everyone is required to have accurate Tactical Situational Awareness, Friend-or-Foe Identification, Synthetic Day/Night Vision, BLOS Communications, Sensors, Signal Intelligence, RF Wideband Digital Beamforming, and be an element for sharing this information in peer-to-peer networks. Until recently, some technological limitations have prevented the creation of a convenient mobile platform with dimensions that would allow a person to wear an electronic device for extended periods. For several years, Microsoft tried to adapt its HoloLense 2 device for the IVAS defense project. However, immersive technologies (AR/MR) designed for entertainment, education and training are not well-suited for the military. At Furtherium, my team and I initially created the concept of AI-powered Tactical Situational Awareness Mobility Platform primarily for the military, security forces, rescuers, and firefighters. The key advantages of this technology are its compact design, fast performance, integration of all important functions, and affordable price. And a special feature is the application of several AI technologies on a local device. I founded Furtherium in 2021 and started developing an integrated product ARHUDFM (Augmented Reality Head-Up Display Fullface Mask) - Hardware modules, SaaS and Healthcare modules. Several detection and recognition functions cover visual information in the visible and infrared spectrum, sound and radio frequency waves over a very wide range, passive radar signatures and an EOD scanner for explosive detection. The core of the technology is not only pre-trained Machine Learning models, but also neural network generative AI models that are trained together with each user. For this purpose, advanced CPU and NPU technologies are used in each device. You could say this is the next step in using generative AI in mobile platforms, focused not only on defense applications, with huge dual-use potential. Fine-tuning a local model on a user's device still looks unfamiliar right now, but that's the future. In addition to the key goals of detection and recognition, other basic functions are Omnichannel Messenger, Media Capture and Exchange, Ballistic Fire Assistant and Spotter, Multi-Domain Operations, RC Universal Controller for drones and robots. You don't have to look into the future to understand the trends, just open YouTube and see for yourself the training programs at the U.S. Marine Corps and Army. I'd like to share the new YouTube video we created that demonstrates the capabilities of my startup's mobile platform, controlled primarily by a voice assistant that adapts to each user. the new YouTube video https://www.youtube.com/watch?v=kIUt2jbYHMs&embedable=true https://www.youtube.com/watch?v=kIUt2jbYHMs&embedable=true It seems natural and logical now, but we didn't come to this immediately, it took several years of research into behavioral capabilities, cognitive constraints, tactical documentation and the capabilities of different electronic component architectures. The technical requirements of the military are very different from civilian applications. This applies not only to Hardware, but also to Software, including how generative AI models should be used, what criteria they are required to meet. Many features must be considered when designing for military applications: Night Vision and Augmented Reality without outward illumination, protection against ionizing radiation, main and backup power system, battery life, active cooling, shock wave and fragments exposure, encryption and hopping frequencies for data exchange, reduced traffic while maintaining data quality. It would be wrong to think about the protection of the device and not provide for the protection of the user. For this purpose, several options are created simultaneously for hearing protection and protection against concussion, eye and face protection, respiratory protection, built-in drinking system, automatic tourniquets to stop acute bleeding. Sensors in the user's arms, legs, back, and chest allow health monitoring during exercises, training, and tactical missions. SAM (Serviceable Addressable Market) for this technology estimates exceed $31B and include markets in over 32 NATO countries and its allies. Amid the Research, Development, Test & Evaluation budget of the U.S. DoD alone of $148B this looks promising. Military innovation budgets are on the rise, that's another trend today. My startup's project involves integrating products from companies such as Palantir, Anduril, Teledyne FLIR, Shield AI, Epirus, Elbit Systems, Raytheon, Northrop Grumman, and Thales Group. Combining non-competing systems creates unique synergies. I am also pleased to announce that we are close to raising funds. Investors are expected to include companies with expertise in the Defense and Security area. More Details Furtherium, Inc. | Website | Wiki | Community | Pitch Deck Website Wiki Community Pitch Deck

AI's Influence is Going to Go Deeper Than Just the Corporate Sector

AI এর প্রভাব শুধু কর্পোরেট সেক্টরের চেয়ে গভীরে যেতে চলেছে৷

Der Einfluss der KI wird über den Unternehmenssektor hinausgehen

La influencia de la IA va a llegar más allá del sector corporativo

L’influence de l’IA va s’étendre au-delà du secteur privé

एआई का प्रभाव सिर्फ कॉर्पोरेट क्षेत्र तक ही सीमित नहीं रहेगा

AIの影響は企業部門だけにとどまらない

AI의 영향력은 기업 부문에만 국한되지 않고 더욱 깊어질 것입니다.

A influência da IA vai além do setor corporativo

Влияние ИИ выйдет за рамки корпоративного сектора

Yapay Zekanın Etkisi Sadece Kurumsal Sektörle Sınırlı Kalmayacak

Ảnh hưởng của AI sẽ không chỉ giới hạn trong lĩnh vực doanh nghiệp

人工智能的影响将不仅仅局限于企业领域

Growing geopolitical unrest can be catastrophic on a humanitarian scale while leading to significant levels of volatility across international markets. For opportunistic investors, however, geopolitical uncertainty can pave the way for fresh opportunities to pick up defense stocks. Although the topic of buying defense stocks has historically proven to be a difficult one for retail investors to come to terms with on a moral basis, the industry is forecasted to grow to a market size of $367.3 billion by 2029 and will be buoyed by further government spending should the uncertain climate remain. Using the iShares US Aerospace & Defence ETF, an industry-specific exchange-traded fund with $6.3 billion AUM, we can see that since the flare-up of conflict in Ukraine in February 2022, the fund has grown around 40%. The ETF’s upward trend was sustained by an escalation of violence in the Middle East in late 2023, and the implications of these heightened aggressions are clear on Wall Street. “Increased geopolitical tensions usually force governments to allocate more money to the defense budget,” explains Maxim Manturov, head of investment advice at Freedom24. “Companies that supply essential defense equipment, technology, and services will benefit from this increased spending.” “Look for defense companies with a diversified portfolio across different defense sectors such as aerospace, cybersecurity, and military equipment manufacturing. Diversification helps reduce risks associated with fluctuations in specific defense segments and provides stability to the overall investment,” Manturov added. Despite its sustained growth in recent years against the backdrop of geopolitical uncertainty, investors may still need to be wary of an overvaluation creeping in throughout the sector. According to a recent Goldman Sachs warning, European defense stocks had been trading at a 45% premium to broader equity markets, placing stocks at risk of a market correction. The value of the industry is likely to be determined more by its growth in light of the changing geopolitical landscape. Should escalations in Europe and the Middle East begin to slow, it’s inconceivable that the sector can sustain its strong rate of growth. With this in mind, investors should look to conduct sufficient research when diversifying their portfolio with defense stocks and choose only companies with a sustainable commitment to innovation to buy. Let’s explore three defense stocks that could offer the best upside for investors moving forward: 1. Lockheed Martin (LMT) With a market capitalization of $110 billion, it’s impossible to ignore Lockheed Martin (NYSE:LMT) when looking at picking up defense stocks. Despite supply chain concerns impacting profits in 2024, Lockheed Martin beat sales predictions by 7.5% and earnings estimates by 10% in its first-quarter report and managed to earn $6.39 per share on sales of $17.2 billion for the period. Lockheed Martin is one of the world’s largest defense contractors and has built a reputation for its commitment to delivering a diverse portfolio of aerospace and defense solutions that feature aircraft and cybersecurity solutions among its wide repertoire. The firm is also renowned for its famous ‘Skunk Works’ research center in California, and Lockheed Martin continuously benefits from this industry-leading R&D to build next-generation electronics that can be seen across its suite of aerospace and defense products. 2. Raytheon Technologies (RTX) Another stock that’s proved its worth in 2024 is Raytheon Technologies (NYSE:RTX). Posting Wall Street growth of more than 15% over the first half of the year, Raytheon Technologies has rallied higher in recent weeks off the back of a positive first-quarter earnings report that saw earnings per share climb to $1.34, beating analyst expectations of $1.23. The company’s revenue of $19.31 billion also surpassed its $18.41 billion expectations by 4.86%. While Raytheon Technologies doesn’t have the same level of diversification as Lockheed Martin without the production of vehicles like warships and fighter jets, the firm is a key player throughout a wide range of global military platforms led by other contractors. Crucially, if investors were to have added the stock at the time of the landmark merger between Raytheon and United Technologies on April 3 2020, their ROI today would be in excess of 110%. This makes the stock one of the best performers on this list, and certainly a firm to keep a close eye on. 3. Northrop Grumman (NOC) One of the strongest five-year performers in this list is Northrop Grumman (NYSE:NOC). Despite widespread difficulty throughout Wall Street in 2022, NOC recorded growth of more than 36% throughout the calendar year. Although the stock has failed to build on its momentum entering 2024, posting a slight decline over the first two quarters of the year, Northrop Grumman managed to comfortably beat earnings expectations for the first quarter, posting earnings of $6.10 per share, beating the Zacks Consensus Estimate of $5.95 per share. Perhaps most impressively of all, is that this means NOC has managed to beat the consensus EPS estimates four times over the past four quarters, making it a stock that’s consistently confounding analysts. Another firm that specializes in aerospace and defense technology, including unmanned systems and cybersecurity innovation, Northrop Grumman is a key player in the growing stealth warfare industry and has developed a large space-focused portfolio. \ Given its long-term commitment to innovation, the firm appears to be a solid long-term bet for more sustained growth in the future. Opportunities for Research-Focused Investors The long-term growth of these defense stocks will rely heavily on the wider geopolitical landscape and the necessity of government spending on increasing defense-focused budgets. With this in mind, investors seeking to diversify their portfolios and add defense stocks should be mindful to conduct sufficient research into the state of defense spending and look to geopolitics for indicators as to whether industry-focused stocks are likely to show continued outperformance in the future. As uncertainty continues to afflict the geopolitical landscape, investors can still find opportunities within the growth of the defense sector with plenty of potential upside for its most innovative stocks. Growing geopolitical unrest can be catastrophic on a humanitarian scale while leading to significant levels of volatility across international markets. For opportunistic investors, however, geopolitical uncertainty can pave the way for fresh opportunities to pick up defense stocks. Although the topic of buying defense stocks has historically proven to be a difficult one for retail investors to come to terms with on a moral basis, the industry is forecasted to grow to a market size of $367.3 billion by 2029 and will be buoyed by further government spending should the uncertain climate remain. difficult one for retail investors difficult one for retail investors $367.3 billion by 2029 $367.3 billion by 2029 Using the iShares US Aerospace & Defence ETF, an industry-specific exchange-traded fund with $6.3 billion AUM, we can see that since the flare-up of conflict in Ukraine in February 2022, the fund has grown around 40%. The ETF’s upward trend was sustained by an escalation of violence in the Middle East in late 2023, and the implications of these heightened aggressions are clear on Wall Street. “Increased geopolitical tensions usually force governments to allocate more money to the defense budget,” explains Maxim Manturov, head of investment advice at Freedom24 . “Companies that supply essential defense equipment, technology, and services will benefit from this increased spending.” Freedom24 Freedom24 “Look for defense companies with a diversified portfolio across different defense sectors such as aerospace, cybersecurity, and military equipment manufacturing. Diversification helps reduce risks associated with fluctuations in specific defense segments and provides stability to the overall investment,” Manturov added. Despite its sustained growth in recent years against the backdrop of geopolitical uncertainty, investors may still need to be wary of an overvaluation creeping in throughout the sector. According to a recent Goldman Sachs warning , European defense stocks had been trading at a 45% premium to broader equity markets, placing stocks at risk of a market correction. recent Goldman Sachs warning recent Goldman Sachs warning The value of the industry is likely to be determined more by its growth in light of the changing geopolitical landscape. Should escalations in Europe and the Middle East begin to slow, it’s inconceivable that the sector can sustain its strong rate of growth. With this in mind, investors should look to conduct sufficient research when diversifying their portfolio with defense stocks and choose only companies with a sustainable commitment to innovation to buy. Let’s explore three defense stocks that could offer the best upside for investors moving forward: 1. Lockheed Martin (LMT) With a market capitalization of $110 billion, it’s impossible to ignore Lockheed Martin (NYSE:LMT) when looking at picking up defense stocks. Despite supply chain concerns impacting profits in 2024, Lockheed Martin beat sales predictions by 7.5% and earnings estimates by 10% in its first-quarter report and managed to earn $6.39 per share on sales of $17.2 billion for the period. beat sales predictions by 7.5% beat sales predictions by 7.5% Lockheed Martin is one of the world’s largest defense contractors and has built a reputation for its commitment to delivering a diverse portfolio of aerospace and defense solutions that feature aircraft and cybersecurity solutions among its wide repertoire. cybersecurity The firm is also renowned for its famous ‘Skunk Works’ research center in California, and Lockheed Martin continuously benefits from this industry-leading R&D to build next-generation electronics that can be seen across its suite of aerospace and defense products. 2. Raytheon Technologies (RTX) Another stock that’s proved its worth in 2024 is Raytheon Technologies (NYSE:RTX). Posting Wall Street growth of more than 15% over the first half of the year, Raytheon Technologies has rallied higher in recent weeks off the back of a positive first-quarter earnings report that saw earnings per share climb to $1.34 , beating analyst expectations of $1.23. earnings per share climb to $1.34 earnings per share climb to $1.34 The company’s revenue of $19.31 billion also surpassed its $18.41 billion expectations by 4.86%. While Raytheon Technologies doesn’t have the same level of diversification as Lockheed Martin without the production of vehicles like warships and fighter jets, the firm is a key player throughout a wide range of global military platforms led by other contractors. Crucially, if investors were to have added the stock at the time of the landmark merger between Raytheon and United Technologies on April 3 2020, their ROI today would be in excess of 110%. This makes the stock one of the best performers on this list, and certainly a firm to keep a close eye on. 3. Northrop Grumman (NOC) One of the strongest five-year performers in this list is Northrop Grumman (NYSE:NOC). Despite widespread difficulty throughout Wall Street in 2022, NOC recorded growth of more than 36% throughout the calendar year. Although the stock has failed to build on its momentum entering 2024, posting a slight decline over the first two quarters of the year, Northrop Grumman managed to comfortably beat earnings expectations for the first quarter, posting earnings of $6.10 per share , beating the Zacks Consensus Estimate of $5.95 per share. posting earnings of $6.10 per share posting earnings of $6.10 per share Perhaps most impressively of all, is that this means NOC has managed to beat the consensus EPS estimates four times over the past four quarters, making it a stock that’s consistently confounding analysts. Another firm that specializes in aerospace and defense technology, including unmanned systems and cybersecurity innovation, Northrop Grumman is a key player in the growing stealth warfare industry and has developed a large space-focused portfolio. \ cybersecurity Given its long-term commitment to innovation, the firm appears to be a solid long-term bet for more sustained growth in the future. Opportunities for Research-Focused Investors The long-term growth of these defense stocks will rely heavily on the wider geopolitical landscape and the necessity of government spending on increasing defense-focused budgets. With this in mind, investors seeking to diversify their portfolios and add defense stocks should be mindful to conduct sufficient research into the state of defense spending and look to geopolitics for indicators as to whether industry-focused stocks are likely to show continued outperformance in the future. As uncertainty continues to afflict the geopolitical landscape, investors can still find opportunities within the growth of the defense sector with plenty of potential upside for its most innovative stocks.

Capitalizing on Uncertainty: 3 Defense Stocks To Look Out For as Geopolitical Tensions Rise

is a technology that corrects the distortion in an image caused by natural effects such as air turbulence and change in the local temperature and atmosphere. Adaptive Optics The agile development of professional astronomy, plus the growing awareness regarding the benefits of using lightweight materials in manufacturing, are expected to offer positive momentum to the adaptive optics component market during the forecast period, 2019–2026. Telescope technology is evolving and is close to the next generation of discoveries, which offer an opportunity for the introduction and use of lightweight materials such as carbon fiber-reinforced polymer (CFRP) in the manufacturing of telescopes and optics. Segmental Insights The has been segmented on the basis of type, application, and region. global adaptive optics components market , the adaptive optics components market has been segmented into wavefront sensors, wavefront modulators, control systems, and others. On the basis of type The wavefront sensor segment is projected to register an increase in demand, in part due to the growth of the biomedical sector. This has also contributed to increasing the application of wavefront sensors in ophthalmology in recent years. By application, the adaptive optics components market has been segmented into consumer goods, astronomy, military & defense, biomedical, and others. Recently, the use of adaptive optics has become more popular in astronomy to improve image resolution, which is expected to fuel the growth of the adaptive optics component market in the segment. Regional Analysis Geographically, the global adaptive optics component market has been segmented into North America, Europe, Asia Pacific, and Latin America, Middle East and Africa (LAMEA). North America is expected to witness significant growth, owing to the increasing focus on the development of advanced optics systems and their adoption in the astronomical field for the delivery of sharper images. Adequate support from government agencies in terms of funding for the development of advanced telescopes and astronomical equipment is also pegged to be a key factor favoring the market growth. For instance, in , which would help astronomers study the outer reaches of the known universe. April 2015, the Canadian Federal Government announced funding of approximately USD 234.5 million for the development of a 30-meter telescope Europe is expected to witness considerable growth in the adaptive optics components market during the forecast period, 2019–2026. This can be attributed to the key role of technology in the success of the European Extremely Large Telescope (E-ELT) project. Asia Pacific is anticipated to witness substantial growth in the adaptive optics technology market. It should be noted though that while adaptive optics significantly improve image quality, the high cost of the overall system is a factor that restricts the market growth in the region. The LAMEA region is expected to witness moderate growth, due to the integration of high-end adaptive optics in military vehicles and equipment for the enhancement of surveillance efficiency. Key Players Some of the major players identified in the adaptive optics component market are Northrop Grumman Corporation (U.S.), Iris AO, Inc. (U.S.), HOLOEYE Photonics AG (Germany), A.D.S. International S.r.l. (Italy) and Canon Inc. (Japan). Segmentation By Type Wavefront sensors Wavefront Modulators Control Systems Others By Application Consumer Goods Astronomy Military & Defense Biomedical Others By Region North America Europe Asia Pacific LAMEA Previously published here.

How Will the Adaptive Optics and Telescope Industries Help Each Other Evolve? 

Every day you visit grocery stores, clothing stores, e-commerce portals, or a bank. Ever wondered how they keep a track of customers, employees, and other crucial information? The answer is Database. Database In simple terms, a database is a collection of information. It is organized to ensure easy accessibility, management, and updates. A database (DB) is useful when you need to store data or facilitate the search for particular. Storage of large volumes of data, modification of the same can be easily managed with databases. Here, the search and sorting are quick and easy. Types of Databases There are various types of databases: Relational database Distributed database Cloud database Graph database NoSQL database Apache CouchDB is a NoSQL database. NoSQL databases are beneficial for the management of large amounts of distributed and unstructured data. CouchDb was initially released in 2005. The current version 3.1.1 was released in September 2020. It supports cross-platform operating systems. Apache CouchDB Apache CouchDB open-source DB employs multiple formats and protocols to store, transfer or process the given data. It is document-oriented. Being implemented in Erlang, CouchDB uses JSON for data storage. Besides, JavaScript is its query language which uses MapReduce. Further, it employs HTTP as its API. Unlike a relational database, this does not support the storage of data in tables. Instead, it considers each database as a collection of independent documents. The most distinguishing feature of CouchDB is its multi-master replication feature. Thus, it ensures scalability that in turn aids in developing high-performance systems. MariaDB is the most-used relational database. A relational DB uses a tabular structure for storing data. This ensures easy re-organization and multiple access patterns. MariaDB MariaDB is an open-source database that is community-developed. It is highly compatible with MySQL. Thus it matches the APIs and commands of MySQL. Besides, it is inclusive of storage engines such as MyRocks, Aria, and ColumnStore. MariaDB is developed by MariaDB Corporation Ab and MariaDB Foundation. It was initially released 11 years ago in 2009. However, the stabilized version was released in February 2021. It is compatible with Linux, Windows, and macOS operating systems. A Detailed Comparison between CouchDB and MariaDB CouchDB is inspired by Lotus Notes. It is scalable and is globally distributed. One can access it over the desktop as well as mobile phones. However, MariaDB is known for its enhanced and high availability. It is secure and has high-performance capabilities. DBMS The primary database model of CouchDB is Document store and the secondary is Spatial DBMS. On the other hand, MariaDB uses a relational database management system (DBMS) as its primary database model. The secondary database models employed by MariaDB are Document Store, Spatial DBMS, as well as Graph DBMS. When it comes to the ranking of DB engines, we see a significant distinction. CouchDB scores 16.01 whereas MariaDB scores 96.37. The overall ranking of CouchDB and MariaDB is #39 and #12 respectively. Both have open-source licenses. However, neither of them is restricted to cloud-only. While CouchDB uses Erlang as its implementation language, MariaDB uses C and C++. While the prior is schema-free, the latter has a data scheme. Programming Languages CouchDB and MariaDB support programming languages such as C, C#, Erlang, Java, JavaScript, Objective-C, Python, OCaml, Ruby, PHP, and Haskell in common. On the flip side, CouchDB supports ColdFusion, Perl, Smalltalk, Lisp, PL/SQL, and Lua. Similarly, MariaDB supports Ada, TCL, C++, D, Eiffel, Go, Scheme too. Operating Systems CouchDB is flexible and adapts itself to any given operating system. It is compatible with Android, Linux, OS X, Windows, BSD, Solaris. On the other hand, Maria is restricted only to FreeBSD, Windows, Solaris, and Linux. CouchDB employs RESTful HTTP/ JSON API as its access methods. Similarly, MariaDB uses ADO.NET, JDBC, ODBC, and Proprietary native API. MariaDB supports typing, SQL, and XML, unlike CouchDB. It also is compatible with foreign keys and in-memory capabilities. On the other hand, CouchDB supports MapReduce. However, both support secondary indexes, triggers, concurrency, and are durable. While CouchDB has sharding as the only partition method, MariaDB has several options for horizontal parting along with Sharding. Both employ multi-source and source-replica replication methods. CouchDB has eventual consistency whereas MariaDB has immediate consistency. CouchDB does not support ACID transactions, unlike MariaDB. Famous Companies Some of the famous companies that bank on CouchDB are Akamai Technologies, GenCorp Technologies, Hothead Games, etc. Similarly, companies like Accenture, Grooveshark, CUNY, Northrop Grumman, and others use MariaDB. Winding up the Comparison On a concluding note, developers prefer CouchDB because of JSON. However, many of the others vote for MariaDB as it is a MySQL replacement. Reviews have proved that MariaDB meets the business requirements better than CouchDB as it offers high performance. Besides, MariaDB offers better product support too. The preference for MariaDB was higher than CouchDB for feature updates and roadmaps. However, if you are in search of a small and fast server in any , CouchDB is the one for you. mobile app development

CouchDB vs MariaDB- Which is better?

Reusable rockets have revolutionized access to space, reducing both the costs of access and the CO2 footprint of launches. Major entrepreneurial developments are to be expected in the coming years, including those from familiar frontrunners SpaceX and Blue Origin as well as new innovations from Virgin Galactic, ISRO, and Arianespace. Understanding the technology, its financial and environmental impacts, and their promising applications for space tourism, power generation, communications, and materials development, all hint at what’s to come. December 2015, Vandenberg Air Force Base, California. SpaceX’s Falcon 9 makes its successful return, the first-ever reusable rocket. Since then, recovering SpaceX rockets has become routine, but this hadn’t been the case during the early decades of spaceflight. All rockets, satellites, and space probes until that day had been single-use items. The only objects that returned to our planet were human-carrying space capsules or sample canisters like Stardust (1999–2006) or Hayabusa (2005–2010), with the exception of the US Space Shuttle (1970s-2011) and the Soviet Union Buran (1980–1988), which had envisioned fully reusable yet too expensive and complex to operate spaceplanes. Since 2012, several companies have been working on projects and prototypes for orbital and suborbital reusable spacecraft. SpaceX began developing what would become the Falcon9 and Falcon Heavy that same year. Blue Origin created the first VTVL rocket, New Shepard, in 2015 and managed to reach space by passing the Kármán line (62 mi) and returning for a propulsive landing. Both companies are working on the next generation of vehicles (Starship and New Glenn, respectively), while Virgin Galactic, ISRO, and Arianespace also have suborbital projects in development. SpaceX CEO Elon Musk has said that reusable rockets can reduce the cost of access to space by a factor of a hundred. We’re already reaping the benefits of this technology, with satellites ridesharing into orbit cheaper and faster than ever. And still, space flight is at its infancy — and the best is yet to come. Biggest Players SpaceX SpaceX is definitely making (regular) strides in reusable spacecraft. Following their Falcon9 success, the company is now involved in several missions. These include Starlink, a network that will offer high-speed internet access across the globe (completed October 8), and Saocom 1B (completed September 20), the first polar launch ever from the East Coast and the first from Florida in decades. The Falcon 9 reusable two-stage rocket completed 93 launches and 54 landings. The Falcon Heavy, the world’s most powerful rocket by a factor of two, has executed seven landings and four re-flies. With its 64 metric tons capacity, the rocket uses nine nine-engine cores (27 Merlin engines) to produce more than 5 million pounds of thrust. One of SpaceX’s most expected vehicles is, however, the Starship. This spacecraft and super-heavy rocket is a fully reusable transportation system that can carry both cargo and crew to Earth orbit, the Moon, Mars, and beyond. Blue Origin Blue Origin is the venture of Jeff Bezos, the founder of Amazon. The company has developed a suborbital rocket called New Shepard (named after Mercury astronaut Alan Shepard, the first American to go to space), designed to take astronauts and research payloads past 62 miles altitude. The journey takes only 11 minutes, and the rocket uses fins, drag breaks, and a BE-3 liquid rocket engine to land. Blue Origin is also working on Blue Glenn (named after astronaut John Glenn), a big reusable launch vehicle capable of carrying people and payloads to Earth orbit and beyond. Its first stage is built for a minimum of 25 missions, making it competitive for a variety of launch markets. The company is also developing Blue Moon, a flexible lander that can deliver astronauts, large rovers, habitats, and ascent stages to the lunar surface in order to enable a sustained human presence on the satellite. The company leads the Human Landing System (HLS) National Team alongside Lockheed Martin, Northrop Grumman, and Draper. The team has recently completed its first System Requirements Review (SRR) and is ready to move forward working with partners, independent experts, and NASA to return Americans to the Moon. Other Companies Virgin Galactic’s reusable spaceflight system is called SpaceShipTwo. The company is developing a new generation of space vehicles that will focus on private passenger-carrying commercial services. Its operational hub at New Mexico’s Spaceport America is the first purpose-built commercial spaceport and will run a regular schedule of spaceflights for private individuals and researchers. ISRO, the Indian Space Research Organisation, is also working on reusable launch vehicle technology. Their RLV-TD completed its first successful atmospheric test flight in May 2016, and their latest model is to land on the ground in November or December 2020. Somewhat similar to the USA’s space shuttle, the vehicle will be able to put satellites into orbit and return for the next mission. expected The European Arianespace is also planning on making its future rockets more competitive. Their new “acceleration platform” will develop reusable launchers and an engine called Prometheus, which uses oxygen and methane as a propellant. The products of this type of fuel are more environmentally friendly than many other alternatives, making the rocket particularly attractive. The Future of Reusable Rockets As Musk stated, reusable rockets can significantly reduce the cost of launches. The CEO had promised that a Falcon 9 launch would cost just $62 million — and yet Space Force’s two next launches had a price tag of only combined. This is perhaps the main reason why the rocket propulsion market is one with increasing government support and growing investment. Its revenues are projected to surpass by 2027 at an 8% compound annual growth rate (CAGR) for the period 2020 to 2027. $52.7 million $6 million Reusable rockets are, in general, safer, more cost-effective, and allow for quick deployment of much-needed satellite infrastructure. They might accumulate wear, but they don’t get new manufacturing defects between flights. In terms of environmental impact, these spacecraft can produce many different emissions (CO2, water vapor, carbon soot, chlorine, etc.), which generally means a hefty footprint. A lot of conventional rockets are propelled by liquid hydrogen fuel that produces clean water vapor exhaust (Blue Origin plans to use this type of fuel). Although the production of hydrogen itself can cause significant carbon emissions, rocket launches are nonetheless relatively infrequent. However, SpaceX’s Falcon uses kerosene. This could become a problem if launches are as frequent as promised — one every two weeks. There are currently no regulations on rocket emissions as, so far, the most important criteria have been cost and performance. Hopefully, companies will follow the example of ArianeGroup, which is developing a completely carbon-neutral rocket that runs on methane produced from biomass. With the advent of frequent rocket launches by many different companies, we hope reducing costs will mean that we can address the environmental impact. This article was also published here .

Reusable Rockets Are Democratizing Access to Space

If you’ve decided to adopt Python for your software development, it’s crucial to know whether Python has a good chance to remain important to the industry in the years ahead. Maybe, you have questions about: Which programming languages are most in demand? Is Python demand in market growing? And does Python have a bright future?  To answer all of this, we’ve analyzed data from credible surveys, statistics, and insights such as GitHub, Stack Overflow, Statista, TIOBE, PYPL, and JetBrains. Most in-demand programming languages in 2019 One of the ways of looking at Python market demand is the list of the top programming languages in 2019 to compare Python to other programming languages. According to Developer Surveys by Stack Overflow, Python surpassed PHP and C# in and , correspondingly. In , Python took the fourth spot in the most popular technologies list edging ahead of Java, while JavaScript, HTML/CSS, and SQL topped the rankings. 2017 2018 2019 Source: insights.stackoverflow.com As for the number of software engineers, third-party vendors, and courses, Python is the third on the as of August 2019. But has it always been like that? In the graph below, TIOBE analyzes how the positions of the top languages have changed since 2002. Java and C have for a long time been at the top of the TIOBE index, while Python has recently seen immense growth. Since 2007, Python has three times seen the biggest rise  in TIOBE index throughout the year. TIOBE experts say that if Python is as fast-growing as it has been lately, it will replace Java and C within the next three or four years. list In , which analyzes the number of tutorials searched on Google, Python tutorials are the most actively searched for, holding a 28.73% market share. Over the past five years, Python has seen the largest amount of growth, while Java has lost a 6.9% share. the PYPL Index Speaking about fractions of pushes, pull requests, issues, and stars on GitHub, Python is number two among most contributed languages based on the second quarter of 2019. Python ratings increased by almost 1.5% compared to the previous year. What’s more, Python took the third spot in the 2018 most contributed languages across private, open-source, and public GitHub repositories, according to . Octoverse Source: madnight.github.io Also, we used Google Trends to find out the language popularity by search queries. We compared Python to Java, JavaScript, and C++ as these are the languages Python is benchmarked against. Java and Python turned out to be the most popular within August 2018 and August 2019. Source: trends.google.com Python community Community is a good indicator of whether the language is growing. Additionally, communities upgrade functionally, update documentation, troubleshoot problems, share expertise, and help one another. In 2018, there were seven million Python developers worldwide, as states. According to , 21% of Pythonistas live in the US. Among other popular countries are India, United Kingdom, Germany, China, and France. SlashData Python Developers Survey 2018 Source: jetbrains.com Below is an infographic showing the Python developer profile. It’ll help you get a bigger picture of Python community. Is Python in demand by employers? High number of job postings is another indicator of whether a language is in demand. We browsed Indeed ― an American international jobs platform ― and discovered that the most often listed skills are Java, Python, JavaScript, and C++. Though Java still tops the ranking, Python has seen the biggest increase in jobs. We’ve also noticed that the demand for Python developers is high not only among ordinary enterprises but also among Silicon Valley. As of September 2019, there were 7,228 Python jobs in Silicon Valley. Also, Python is popular among big companies like Amazon.com (4522 Python jobs), Deloitte (1063), Apple (871), Accenture (620), Google (615), Raytheon (540), Microsoft (503), Northrop Grumman (458), Lockheed Martin (450), Bank of America (405), Capital One (379), J.P. Morgan Chase (371), Verizon (344), Facebook (340), and Tesla (84). Source: public domain Who doesn’t know Apple, a tech giant? As of September 2019, they had 871 Python jobs. Look at one of their job postings: Source: jobs.apple.com Where Python is mostly used According to the , the five most common Python use cases include: Python Developer Survey 2018 - Data analysis - Web development - DevOps, system administration, writing automation scripts - Machine learning - Web parsers, scrapers, crawlers Data analytics and machine learning As indicates, Python is the most popular language for machine learning. Python libraries and frameworks are among the most popular tools for data science. and are good examples here. PyTorch is among the fast-growing GitHub projects and TensorFlow is the most contributed project. Actually, scientific libraries and frameworks are one of the reasons why data scientists and machine learning engineers opt for Python. Below is the table of common use cases and solutions that are most suitable for them. 2018 Octoverse report PyTorch TensorFlow Software engineers opt for Python for data science and machine learning because this language is flexible, simple, and stable. Also, developers can always rely on communities any time they have difficulty coding. And there are many of those. Web development In 2018, IEEE Spectrum states that Python was the number one choice website development. Indeed, Python is one of the most widely used languages. There are lots of reasons for this: With Python, you can build an app that scales. Big companies that handle high traffic such as Instagram, Google, Netflix, and Reddit prove that. Flexibility and scalability: There are built-in tools that allows you to build a well-secure app from the start. : Python can be used for any operations or software development scenario. It can also be used for all sorts of projects from MVPs to e-commerce platforms to mHealth apps. Security: Versatility : Python has everything you need to build a full-featured application. There’s the Python standard library that offers standardized solutions for a wide variety of problems so you don’t need to rewrite widely used commands. Robustness : Python plays well with others and can be easily integrated with languages such as Java, Jython, C, and C++. Easy integration Additionally, there are many Python web frameworks that are quite popular like Django. Flask, web2py, and CherryPy. In 2019, Django and Flask were even included in the most broadly used web frameworks list. Source: insights.stackoverflow.com Companies powered by Python Real-life projects are another way to check Python demand in market. As of August 2019, there were 188,604 websites built with Python, as shows. It’s worth noting that among those are big names such as Netflix, Google, Instagram, Quora, Dropbox, IBM, Reddit, and Spotify. Now, let’s take a minute to see how exactly some of them use Python. BuiltWith Spotify Spotify ― a world-famous music streaming service ― relies heavily on Python. They use a combination of several languages: Python, Java, C++, and C with Python being the main technology. The primary reason why they opted for Python is speed. Geoff van der Meer ―  a former VP of Engineering at Spotify ― said that “speed is a big focus for Spotify. Python fits well into this mindset, as it gets us big wins in speed of development.” Where exactly Spotify uses Python . They created ― a Python package ― to build data processing flows. This package comes with built-in support for Hadoop, a Java framework for data processing. Luigi thus makes interactions with Hadoop easier. Also, they combine Luigi with a couple of machine learning algorithms for the following features: Data analysis Luigi Discover Weekly ― Every Monday, Spotify users receive a fresh personalized playlist based on their tastes. Radio ― Spotify crafts a list of songs by playlist, album, artist, or songs of user’s choice. . Spotify backend comprises a number of interrelated services. They connect these backend services by their messaging protocol using ZeroMQ, an asynchronous messaging library. Python powers 80% of these backend services. Backend infrastructure What’s more, Spotify plays a big part in Python community. They sponsored different conferences including Euro Python and PyCon. They support local communities such as NYC PyLadies and the Stockholm Python User Group. Also, they’ve contributed to Python by creating 49 open-source projects including spotify-tensorflow, Luigi, Comet, Chartify, and Cartography. Netflix Netflix is one of the biggest examples of Python projects. Python was there when Netflix started and continues to play a big role in developing and improving their app as well as managing their internal processes. They use a combination of the best Python libraries and in-house development. Source: macrumors.com Where exactly Netflix uses Python . At Netflix, they believe that understanding users is key to deliver experience tailored to each user. To achieve this, they analyze metrics, logs, and traces. Observability tools . Since Netflix generate lots of information, it’s critical to comprehend a vast amount of data fast. To turn this data into actionable insights, they visualize it in their dashboards. Detection tools . Netflix monitors their platform in real-time to find anomalies and evaluates anomalous correlations and contextual events. Diagnostic tools . To quickly resolve issues and bring the platform back to a healthy state, they take mitigation measures by way of automated actions and diverse actions (terminating, rebooting, and detaching). Remediation tools . To deliver TV shows, movies and documentaries to each Netflix user, they built , a CDN. Content delivery network (CDN) Open Connect for traffic distribution, capacity operation, , and fleet efficiency of their cloud. Demand engineering tools regional failovers Machine learning with Python has a special place at Netflix. They apply different algorithms to improve customer experience and deliver stuff tailored to each and every member. For example, Netflix does their best to understand exactly what they feel like watching and recommends movies with the help of . Also, they use to find out which artwork best relates to each user. Here’s an To automate their marketing campaign, they developed . recommendation algorithms artwork personalization algorithms example. marketing algorithms But that’s not all. Netflix contributes to Python by making open-source projects. The most popular are Security monkey, Bless, Aardvark, Repokid, and Lemur. Instagram Being the second most engaged social networking platform with around 1 billion monthly active users and over 40 million shared photos, it’s difficult to provide efficient app performance. Python is what provides Instagram with the ability to handle this and the power to scale while retaining great performance. In one of their technical blog posts, the Instagram team says that “we initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.” Where exactly Instagram uses Python , a tool to to record key performance and efficiency metrics Dynostats Monitoring and alerting tools. their service infrastructure Scaling The Instagram blog including LibCST, MonkeyType, and django-workload Open-source projects So what’s the demand for Python? To answer the question “How big is the demand for Python in 2019?”, we’ll say ― huge. Statistics, community, job postings, use cases, and leading companies using Python illustrate this. For example, because Python is used for new industries such as artificial intelligence, machine learning, data science, and natural language processing, Python won’t disappear in the near future. The community and the number of Python applications are growing. Plus, Python is frequently requested in job postings. All this means that Python is an in-demand programming language with a bright future.

How Big the Demand for Python in 2019 is, or, Why Python Has Suddenly Become So Popular

How to Send and Receive Data, Payments, and More Using Ultrasonic Technology. Discover Data & Payments at the Speed of Sound The adoption of mobile payments is on the rise. In fact, the majority of smartphone owners, 78%, have using their mobile device. However, traditional mobile payment methods are lacking in critical security needed to protect sensitive payment information. made a purchase Is there a more secure way to transmit payment data than traditional mobile payment methods? The answer lies within ultrasonic technology. The LISNR® Ultrasonic Data Platform: How does it work? A customer initiates a mobile payment using their mobile device, for example buying something at the department store. Through , ultrasonic data transmission occurs, enabling secure bi-communication between the mobile device and the point-of-sale payment terminal via speaker or microphone. LISNR’s technology Audible or inaudible tones, depending on use case, send encrypted data between devices to create secure communication. LISNR uses KAB® or Kilo Audio Bit, complete with a throughput of 1,000 bit-per-second to send data over audio across bandwidths. Each audio tone has three parts: the Preamble, the Header, and the Payload. The tone preamble announces the presence of a tone to begin SDK demodulation. Preamble: The header contains metadata about the payload and security logic. Header: The payload is the actual data-containing portion of the tone. Payload: LISNR’s development kit allows devices to utilize ultrasonic sound technologies on various platforms, enabling tone modulation and demodulation. LISNR currently supports platforms such as: Android iOS Linux Windows Python Raspberry Pi Amazon Alexa macOS This is the actual sample code from our Linux SDK documentation: You can find other sample codes via GitHub . here Behind the scenes, LISNR offers two different approaches to security when completing payments using ultrasonic sound, RSA-encrypted payload and TLS 1.2. Bi-Directional Ultrasonic Payments vs. Traditional Mobile Payment Solutions LISNR’s ultrasonic technology is a secure medium that enables retailers, merchants and card networks to create a secure payment experience that’s possibly the most secure way to pay. How? LISNR’s ultrasonic payment solution is the first bi-directional exchange that can send a confirmation back, while all other methods are unidirectional. Existing payment solutions such as EMV, swiped card and NFC are all mostly unidirectional and cannot create an off-line . Instead, they’re sending their data into the cloud which increases the potential risk of payment data being exposed. handshake Ultrasonic technology uses sound to transmit credit card information without interception or data recording. The handshake is done locally between the two devices, without ever connecting online. A local handshake allows retailers to add additional factors without exposing the handshake to the cloud via tokenized and encrypted credit card data, proximity data, biometric information and more. The resulting handshake includes multiple authentication factors, resulting in greater security when compared to traditional unidirectional payment technologies. How Do Ultrasonic Payments Work? The LISNR bi-directional prototype bridges the last gap between the client and the merchant when a payment is made. Where sensitive payment credentials are being shared, we perform the exchange with similar levels of security already available, such as TLS (Transport Layer Security). RSA-Encrypted Payload Prototype In the RSA-encrypted payload prototype, the mobile device creates a data message containing credit card data and encrypts it with the terminal’s public RSA key. The data is then broadcast and received by the payment terminal, the only device that can decrypt the message. After decrypting the data, the server responds with a ServerDone message, which can also be used to convey an error in the transfer. This prototype boasts high levels of security because only the server can decrypt the critical payment data. Plus, it’s fast. TLS 1.2 Prototype In the TLS, or transport layer security, 1.2 prototype, a full handshake and data transfer is performed. A handshake is described as a communication between the mobile device and the terminal that determines the used to encrypt the communication. Verification of the server takes place and a secure connection is established before the transfer of data occurs. ciphersuite The TLS 1.2 is an industry-accepted protocol without a data limit. The handshake can’t be replayed, making it completely secure. What’s the Main Difference Between RSA and TLS? When using the RSA protocol, implementation requires the RSA keys to be exchanged beforehand, which will require advance planning. The TLS protocol includes a key exchange so the two clients can communicate. As a result, TLS takes longer to complete. Using LISNR’s bi-directional ultrasonic solution, both customer and critical business data are protected. Mobile device to server communication is encrypted, further securing customer credit card information on any mobile device with a speaker. Now You Too Can Create a More Secure Way to Pay Through LISNR’s bi-directional ultrasonic sound payment solution and software working as an enabler, end users can integrate LISNR’s ultrasonic proximity platform to create the most secure way to accept mobile payments. To learn more about LISNR’s bi-directional solution, get in touch with us. About Ethan Tyink Ethan Tyink, Embedded Engineer at LISNR Ethan completed his undergraduate degree at Purdue in Computer Science and his master’s degree from the University of Cincinnati also in CS with a focus on cybersecurity and embedded systems. He is a Full-Stack generalist specialized in Cyber Security and has been an embedded engineer with LISNR since leaving Northrop Grumman in 2018. He works with C++/C, Objective-C, Java, Perl, Python. Reach out if you share some of his areas of interest around Mobile App Security, Malware Reverse Engineering, Malware detection and prevention, Cryptography Network Security, Embedded Systems and Distributed Systems. ABOUT LISNR® LISNR® is data at the speed of sound. LISNR® powers seamless payment experiences, connecting the online to offline customer journey with the most advanced Ultrasonic Data Platform. This is achieved via a secure and scalable software solution that sends micro-communications using sound between devices on standard speakers and microphones. Data at the speed of sound. Today, Visa, Jaguar Land Rover, Ticketmaster, and the US Government trust our solution to power data transmission between connected devices. Founded in 2012, LISNR® has offices in Oakland, CA and Cincinnati, OH. Major investors include Visa, Intel, Jump Capital, R/GA, and Synchrony Financial. Learn more at LISNR.com/resources/developers

How to Send and Receive Data, Payments, and More Using Ultrasonic Technology

Friday, June 23, 2017: We completed the setup of our test facility on the site of the , NY (Long Island). This is where were built by Northrop Grumman. Now, it is the site of Launcher’s 3D-printed rocket engine testing facility. Naval Weapons Industrial Reserve Plant in Calverton F-14 Tomcats The goal of the day was to perform our first ever hot fire of any kind as a rocket company. We planned to fire the 3D-printed augmented spark igniter for Engine-1 via remote control. While very small, it is a key piece of Engine-1 and is in its own right a small rocket motor ignited by a spark plug. Built using 3D-printed Inconel 718, the propellants are gaseous oxygen (GOX) and kerosene. It is expected to generate 5 pound-force (lbf) of thrust. Igniter for Launcher Engine-1. It screws into the center of the injector and fires inside the combustion chamber of Engine-1 The test also brought together more than twenty systems and marked the final integration of the many pieces of software and electronics for control, measurement, and safety that we have been developing during the last few months in preparation for our future Engine-1 firing (expected later this summer). Our protection wall and test cell container. Command container. Our control room is situated at a safe distance of more than 600 feet from the test cell. In Command, we can remotely control and monitor sensors on the test stand, activate warning and safety devices, and monitor the surroundings and test cell container with more than 15 cameras and microphones. We also have a live-streaming capability. The team can monitor all the cameras and control and monitor the stand directly from their desks. ‘The Ranch’ container — changing room and green room. KERO container — storage for Jet-A kerosene. The three containers in the test cell area (in addition to Command): TACO (networking/video equipment hub), LOX (liquid oxygen storage), and CELL (the actual test stand container). Also shown is our concrete protection wall. Launcher’s team setting up the E-1 Igniter test stand electronics, sensors, valves, fuel, gases, and video in preparation for the hot fire test. Engine-1 Igniter first hot fire. Also, this was Launcher’s first ever hot fire of any kind. Launcher’s first can be seen in this photo . They are tiny but mark a symbolic milestone for us as a new rocket development company. Mach diamonds On future igniter testing days, we will be fine-tuning the performance, gathering more data and ensuring that we have full repeatability of our E-1 igniter firing at nominal performance and expected run time. We will be sharing data and updates as we get closer to our 500 lbf thrust Engine-1 hot firing, and in the process, continue to make steady progress toward our 10-year goal to develop a commercial satellite launcher. We want to make low earth orbit more accessible to entrepreneurs and their customers. Perfect end to the day. Ad astra. Photos and signage by our friends at http://noentrydesign.com/

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