MIT created "periodic table" for ML, organizing 20 algorithms by mathematical similarities which discovered of a new image-classification algorithm by 8%.

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by graphene-based composites and machine learning that let artificial skins detect ...

Overview: Free YouTube channels provide structured playlists covering AI, ML, and analytics fundamentals.Practical coding demonstrations help build real-world d ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

The Reserve Bank of India (RBI) has ushered in a new era of artificial intelligence governance through its Framework for ...

How Can Non-Human Identities Enhance Cybersecurity? Are your security strategies keeping up with the increasing complexity of digital? With cybersecurity challenges evolve, so do the measures to ...

For decades, workplace power moved slowly. Technology arrived in waves, jobs adapted over years, and hierarchies remained mostly intact. Artificial intelligence changed that rhythm entirely. What ...

Discover how AI-driven smart contract auditing detects vulnerabilities, improves security, and ensures safer blockchain deployments.

The 2026 Improving Musculoskeletal Patient Care Through Outcomes Research (IMPACT) Award was presented to Kevin Shea, MD, FAAOS and the Research in Osteochondritis of the Knee (ROCK) Research Study ...

The department is planning to broaden its machine learning-powered Automated Decision Support tool to cover more types of claims.