Oracle's gargantuan $28.3 billion acquisition of health care data company Cerner, the largest deal in its 44-year history, is not just about electronic patient records. From algorithmic systems that predict the likelihood a patient will contract sepsis to tech that tracks hospital bed capacity, Cerner will bring an array of cloud-based data analytics and AI technologies to Oracle as it competes with Amazon Web Services, Google, IBM and others to serve the health care industry's data and AI needs. In fact, the deal is poised to shift some business away from AWS, which Cerner named as its preferred cloud partner in 2019. Oracle's acquisition of Cerner, a company that got its start in health care IT in 1979, is expected to close in 2022. The all-cash deal is also expected to improve Oracle's bottom line in its first year, the company said in a press release.

Vectorspace AI, a subsidiary of Vector Space Biosciences, Inc., now enables cryptocurrency exchanges with a thematic crypto baskets REST API available here. This API enables an exchange to offer tradable baskets of cryptos related to a theme, event or topic of any kind in real-time. The API is designed to spawn an ecosystem of new products for retail traders and investors providing them with abilities similar to hedge funds or asset management companies operating advanced data engineering pipelines. "It's like having your own dedicated NLP, AI, or Machine Learning pipeline," remarked Kasian Franks, Founder and CEO of Vector Space Biosciences, Inc. "This opens up a new world of thematic investing where baskets of cryptos or stocks can be generated based on a theme or global event in real-time using similar'language modeling' techniques used to predict the way proteins fold by DeepMind's AlphaFold2." VectorScreen is an additional filtering package powered by the core crypto baskets API, enabling advanced screening and filtering resulting in additional alpha.

We are pleased to announce the release of Poplar SDK 2.4 which is now available to download from our support portal and Docker Hub. This is the culmination of a very successful year of software releases, optimisations and new ecosystem partnerships demonstrating continued progress, software maturity, ease-of-use, scale-out capabilities and high-performing benchmarks as demonstrated by our reference applications and MLPerf submissions. The new release provides a host of improvements to further enhance ease-of-use, performance and help developers run their machine learning models even faster, as well as code for new applications added to our public examples on GitHub. To learn more about these new features, see our SDK 2.4.0 Release Notes. Poplar SDK 2.4 provides numerous improvements to help you accelerate your AI applications with ease on IPU systems.

Understanding the segments helps in identifying the importance of different factors that aid the market growth. At last, all parts of the Worldwide Artificial Intelligence (AI) in Manufacturing Market are quantitatively also subjectively valued to think about the Global just as regional market equally. This market study presents basic data and true figures about the market giving a deep analysis of this market based on market trends, market drivers, constraints and its future prospects. The report supplies the worldwide monetary challenge with the help of Porter's Five Forces Analysis and SWOT Analysis. Customization of the Report: The report can be customized as per your needs for added data up to 3 businesses or countries or 2 analyst hours.

BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology and the world's first commercial producer of neuromorphic AI chips and IP, today announced that the next episode of its "This is our Mission" podcast will air early next year rather than its traditionally scheduled timeslot in December, to give guests and listeners time to enjoy the holidays and year-end celebrations. The series will go back to its regular monthly releases upon its return. Launched in 2020, the BrainChip Podcast is a monthly event intended to provide company and industry insight for the engineering community in target markets, as well as analysts, technical and financial press and investors. Guests have included company executives explaining BrainChip's technology and advances made towards marketability, as well as leading industry and academic experts who have provided insight into the broader market and BrainChip's place within it as part of "Outside Looking In" conversations. "This has been an incredible year interviewing incredible people to help listeners, investors and even those within the company learn about this incredible emerging marketplace and gain insight into aspects of AI from different perspectives," said Rob Telson, Vice President of Worldwide Sales at BrainChip and frequent podcast host.

Abacus.AI, announced today that it has been recognized as a Cool Vendor based on the October 11, 2021 Gartner Report "Cool Vendors in AI Core Technologies" by Farhan Choudhary, Alexander Linden, Pieter den Hamer, Arun Chandrasekaran, and Jim Hare. Abacus.AI is the world's first end to end AI and ML platform and has custom vertical specific for many enterprise AI use-cases including personalization, forecasting, NLP and vision. The platform may be used by data science teams who want to plug and play their own models and instantly deploy their models to production or by line of business owners who may want to use Abacus's innovative neural-architecture-search techniques to build a custom model based on the shape of their datasets and the use-case. Its AI platform democratizes the use of AI enabling organizations of all sizes to design, train, and operationalize machine and deep learning models. In addition, Abacus.AI has vertically integrated support for several common enterprise use-cases. This allows organizations of all sizes, from small startups to Fortune 500 companies, to use the company's state-of-the-art platform to enhance their AI adoption.

IRVINE, Calif., Dec. 16, 2021 (GLOBE NEWSWIRE) -- Seoul Robotics, the 3D perception solution company using deep learning AI to power the future of mobility, today announced that in 2021 the company more than doubled the number of partnerships and global employees. In July alone, Seoul Robotics closed more business than in the entirety of 2020. Since launching in North America in January 2021, Seoul Robotics has introduced three plug-and-play 3D perception systems, Discovery, Voyage, and Endeavor, as well as the most advanced version of its 3D perception platform, SENSR 2.2. SENSR 2.2 is the only 3D perception software on the market leveraging deep learning AI and is compatible with over 75 different makes and models of 3D sensors, including LiDAR. Over the past year, Seoul Robotics has secured and scaled solutions with several top-tier companies and government entities, including multiple Tier-1 original equipment manufacturers (OEMs) and Departments of Transportation.

A Korean research team developed a technology for detecting humans lying on the road in real-time. Therefore, preventing safety accidents in the city and rapidly responding to it will be possible, and a safer society is expected to be accomplished. The Electronics and Telecommunications Research Institute (ETRI) announced that it applied the technology of Visual AI ‘DeepView’ to Daejeon Metropolitan City in earnest to prevent safety accidents in the city and promptly respond to them. DeepView is an AI technology recognizing human behavior. It detects people lying on the road through surveillance cameras in real-time. As it can be applied to preventing safety accidents caused by drinking, fainting, etc. and performing prompt emergency rescue measures. It is expected to become the core technology for making a safe city.

Yaochu Jin is doing research on nature-inspired intelligent technological systems that organize themselves in a changing environment. How can artificial intelligence (AI) draw on principles from nature to solve complex problems? When it comes to recognizing patterns in large amounts of data, AI is faster and more capable than humans. However, it has difficulties when it has to make connections or deal with uncertainties and fuzziness. Through evolution, development, and learning, nature has developed much more practical problem-solving solutions. Yaochu Jin, the Alexander von Humboldt Professor of Artificial Intelligence at Bielefeld University since the autumn, is looking at how such principles can be transferred to AI.

WASHINGTON – The National Geospatial-Intelligence Agency has selected a team of commercial and academic partners to build an artificial intelligence system with synthetic data, which will further help the agency determine how it builds machine learning algorithms moving forward. Orbital Insight was issued a Phase II Small Business Innovation Research contract by the NGA, the company announced. It will collaborate with Rendered.ai As the organization charged with analyzing satellite imagery for the intelligence community, NGA has put increased emphasis on using AI for its mission. The agency sees human-machine pairing as critical for its success, with machine learning algorithms taking over the rote task of processing the torrent of satellite data to find potential intelligence and freeing up human operators to do more high level analysis and tasks.