The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

AI has a significant environmental impact — one that is difficult to quantify due to companies' lack of transparency with their data. But can end-users and companies take action to reduce it? View on ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Objectives This review aimed to provide a pooled estimate of injury incidence and epidemiology in women’s ice hockey.Methods A systematic review and meta-analysis were conducted by searching PubMed ...

Believe it or not, the focus on Artificial Intelligence (AI) began decades ago primarily as a result of a paper published in 1950 by a man named Alan Turing. He proposed his Turing Test as a benchmark ...

Imagine it rsquo;s a rainy Tuesday in February 2026 . An autonomous delivery robot is navigating a busy metropolitan sidewalk .

A tiny piece of junk may be harmless on Earth, but even the slightest impact from such debris hurtling through space at high speed can prove fatal for a spacecraft. There are more than a million such ...

In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of structured, siloed, and confidential data.