Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Amazon can steer market-wide prices without ever colluding—exposing a gap in antitrust law that the FTC is now fighting to ...

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

This article explores how building structured, connected data systems is essential to unlocking reliable insights, ...

Your early life may quietly set the stage for developing Type 1 diabetes, an increasingly common, lifelong condition that can ...

Depending on who you listen to, AI will cause widespread disruption and unemployment, especially at starting and lower middle ...

Quantitative trading plays an ever-increasing role in the global financial markets. Automated algorithms analyse millions of ...

Incredible camera hardware, balanced processing and ace accessories ...

Do wineries already have a lot of insights on what consumers want but aren’t exploring that data? What are consumers actually ...

Marty Mauser would have hated this. The 1950s ping-pong hustler in the movie, Marty Supreme, spent years chasing greatness in ...