Most image recognition algorithms require lots of labeled pictures. This new approach eliminates the need for most of the labeling.
After decades of staying out of industrial policy, a Pentagon-appointed commission recommends more spending on research and support for US chip makers.
AI programs that analyze language have difficulty gauging context. Words such as “black,” “white,” and “attack” can have different meanings.
A group of meme-spinning pranksters attached a paintball gun to the dynamic robot to make a point about the automated future.
Margaret Mitchell was the co-leader of a group investigating ethics in AI, alongside Timnit Gebru, who said she was fired in December.
An MIT professor found his name on two papers with which he had no connection. A different paper listed a fictitious author by the name of “Bill Franks.”
A chess program that learns from human error might be better at working with people or negotiating with them.
In a 2018 paper, researchers said they found evidence of an elusive theorized particle. A closer look now suggests otherwise.
A study finds that algorithms learn to associate words with other words. “Democracy” can equal “stability”—or “chaos.”
It started as a way to restrict autocompletes on Shutterstock. Now it grooms search suggestions on Slack and influences Google’s artificial intelligence research.