Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Why do algorithms keep showing us content we claim not to want? The answer isn’t manipulation—it’s conflict between our ...

The growing prominence of health tech enlisting artificial intelligence has led to a lot of practical applications for automating a wide variety of administrative tasks, analyzing medical images for ...

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...