With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...

Patients are being warned to stop using some glucose monitors made by Abbott Diabetes Care after the company found malfunctioning sensors may be linked to hundreds of adverse events and several deaths ...

Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48103, United States Life Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109, United States Department of ...

Linked lists are among the most fundamental yet challenging data structures for novice learners because of their noncontiguous memory organization and complex pointer manipulation. To address these ...

Australia’s New South Wales Police used a legacy facial recognition algorithm for over a decade and declined repeated offers of updates from the vendor, instead replacing it with a system adapted ...

Instagram is rolling out a new test that lets select users fine-tune what they’d like to see in their Reels and Explore feeds. Here’s what it looks like. Instagram lead Adam Mosseri took to Threads ...

The U.S. and U.S. Coast Guard flags fly over a U.S. Coast Guard response boat during a search and rescue training mission Sept. 24, 2015, off the coast of North Carolina. (U.S. Air Force photo/Airman ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

UNDP People for 2030: People are our greatest asset. At UNDP, our People for 2030 strategy recognizes that our greatest asset is our people. As we embrace AI to enhance recruitment and workplace ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...