Thales launched InnovDays in 2012 as a way for its customers and partners to gain exclusive insights into the technological excellence of its research facilities. Since then, successive InnovDays events have turned the spotlight on the latest technological innovations developed by more than 29,500 Thales engineers and researchers. This press release features multimedia. InnovDays is a reflection of Thales's objective of leveraging science and high technology to build a future we can all trust. By harnessing the unprecedented precision and power of quantum physics and augmenting the performance of its systems thanks to artificial intelligence, Thales is developing the new generation of technologies that will shape the world of tomorrow.

According to a report from MarketsandMarkets, a global research firm, the Artificial Intelligence market is expected to reach USD 190 Billion by 2025, growing at a CAGR of 36% between 2018 and 2025. Aritificial Inteligence is also driving the market for semiconductor industry as AI chipsets has been the key enabler for this market. Processor, Memory and Network has to be ready for such a huge data analytics. MarketsandMarkets has identified ten major industries using different AI apllications where the market is expected to have a major impact for 2019 and beyond. The AI market for healthcare is used in various applications, such as patient data & risk analysis, medical imaging & diagnostics, precision medicine, lifestyle management & monitoring, drug discovery, inpatient care & hospital management, virtual assistant, wearables, and research.

Growing number of cross-industry collaborations and partnerships and the need to control drug discovery & development costs and reduce the overall time taken in this process are the key factors driving the AI in the drug discovery market. The global AI in the drug discovery market is projected to reach USD 1,434 million by 2024 from USD 259 million in 2019, at a CAGR of 40.8% during the forecast period. Growth in this market is mainly driven by growing number of cross-industry collaborations and partnerships, the need to control drug discovery & development costs and reduce the overall time taken in this process, the rising adoption of cloud-based applications & services, and the impending patent expiry of blockbuster drugs. On the other hand, a lack of data sets in the field of drug discovery and the inadequate availability of skilled labor are some of the factors challenging the growth of the market. The immuno-oncology segment accounted for the largest share in 2019.

The update shares an announcement from the United States Patent and Trademark Office ("USPTO") and provides important details regarding a second Federal Register Notice on AI and innovation building upon the earlier request for comments focused on the impact AI poses for patent law and policy. The Ocean Tomo AI Report Update contains important details regarding the window of opportunity to respond to the notice as well as sample questions included in the notice. You can request a copy of the study update here. Ocean Tomo Industry Analyst Reports provide a comprehensive look at current industry trends and deal activity in several technology areas. As a financial advisor with a focus on technology and intellectual property (IP), Ocean Tomo has gained unique insights related to the intellectual property driving the development of a variety of technology areas.

Shelf, the leading AI-enabled knowledge management platform on the market, received the Business Intelligence Group "Best New Product of the Year" BIG Award in the startup category when the 2019 award winners were announced on November 6th 2019. The BIG Awards recognize the innovative products, people, and technologies leading their respective industries. Shelf was selected from a pool of 1000's of applicants, thanks to its unique ability to transform how employees access critical company knowledge. According to Maria Jimenez, chief nominations officer of the Business Intelligence Group, "We assessed numerous enterprise technology products in our search for the Best New Product and found Shelf capabilities to be truly unique. The product itself is intuitive and easy to use, and the ROI Shelf produces for its customers is undeniable. As a result, we felt as though Shelf was in a class of its own and deserving of this recognition."

BEIJING, CHINA--(Marketwired - Sep 25, 2017) - GTC China - NVIDIA (NASDAQ: NVDA) today announced that China's leading original equipment manufacturers (OEMs) -- including Huawei, Inspur and Lenovo -- are using the NVIDIA HGX reference architecture to offer Volta architecture-based accelerated systems for hyperscale data centers. Through the NVIDIA HGX Partner Program, NVIDIA is providing each OEM with early access to the NVIDIA HGX reference architecture for data centers, NVIDIA GPU computing technologies, and design guidelines. HGX is the same data center design used in Microsoft's Project Olympus initiative, Facebook's Big Basin systems and NVIDIA DGX-1 AI supercomputers. Using HGX as a starter "recipe," OEM and original design manufacturer (ODM) partners can work with NVIDIA to more quickly design and bring to market a wide range of qualified GPU-accelerated AI systems for hyperscale data centers to meet the industry's growing demand for AI cloud computing. With GPUs based on the NVIDIA Volta architecture offering three times the performance of its predecessor, manufacturers can meet market demand with new products based on the latest NVIDIA technology.

In addition to moving the vast majority of its infrastructure to AWS, the National Football League (NFL) team will use the breadth and depth of AWS's services, including compute, storage, database, analytics, and ML to drive deep analysis of game footage to inform game strategy, improve operational efficiencies, and accelerate decision-making to advance team performance game-to-game. The Seahawks will combine the weekly NFL Next Gen Stats player tracking data, which tracks the position of the ball and every player 10 times per second, with its own player and club data to develop custom analytics and proprietary statistics. The Seattle Seahawks are relying on AWS's unmatched portfolio of services to discover actionable outcomes from its vast amount of player, team, and business data, enabling them to continue to compete at a championship caliber level. The Seahawks are building a data lake on Amazon Simple Storage Service (Amazon S3) that will combine team stats and NFL data, such as Next Gen Stats player tracking, player health and wellness data, and scouting information to provide deeper visibility into player capabilities, as well as give the coaching staff a single, real-time view of player and team performance. By applying AWS analytics services to the data, the Seahawks will be able to quickly uncover insights to better evaluate talent and develop game plans that take advantage of the team's strengths.

In addition to moving the vast majority of its infrastructure to AWS, the National Football League (NFL) team will use the breadth and depth of AWS's services, including compute, storage, database, analytics, and ML to drive deep analysis of game footage to inform game strategy, improve operational efficiencies, and accelerate decision-making to advance team performance game-to-game. The Seahawks will combine the weekly NFL Next Gen Stats player tracking data, which tracks the position of the ball and every player 10 times per second, with its own player and club data to develop custom analytics and proprietary statistics. The Seattle Seahawks are relying on AWS's unmatched portfolio of services to discover actionable outcomes from its vast amount of player, team, and business data, enabling them to continue to compete at a championship caliber level. The Seahawks are building a data lake on Amazon Simple Storage Service (Amazon S3) that will combine team stats and NFL data, such as Next Gen Stats player tracking, player health and wellness data, and scouting information to provide deeper visibility into player capabilities, as well as give the coaching staff a single, real-time view of player and team performance. By applying AWS analytics services to the data, the Seahawks will be able to quickly uncover insights to better evaluate talent and develop game plans that take advantage of the team's strengths.

Toshiba Corp. has developed a technology to detect 13 types of cancer from a single drop of blood with 99 percent accuracy, the company announced Monday. Toshiba developed the diagnosis method together with the National Cancer Center Research Institute and Tokyo Medical University, and hopes to commercialize it in "several years" after starting a trial next year. The method could be used to promote treatment of cancers from an early stage, it said. The method is designed to examine the types and concentration of microRNA molecules secreted in blood from cancer cells. Toray Industries Inc. and other companies have also developed technologies to diagnose cancer using microRNA molecules from a blood sample.

FOX Business' Charles Payne covers artificial intelligence and genetic editing and says Hollywood movies often dramatizing these cutting-edge technologies when we should actually be embracing and investing in companies that develop them. Artificial intelligence can help companies increase their efficiency, reduce their carbon footprint and help keep workers safe, according to engineering experts. Now, Microsoft is partnering with energy industry tech company Baker Hughes and AI developer C3.ai to bring enterprise AI technology to the energy industry via its Azure cloud computing platform. The companies said their alliance would allow customers to streamline the adoption of AI designed to address issues like inventory, energy management, predictive maintenance and equipment reliability. "For the energy industry, this is a time of significant transformation and forward-thinking companies are exploring how to leverage technology to make their operations cleaner, safer and more efficient," said Judson Athoff, EVP of Microsoft's worldwide commercial business, in a press release.