Jul 17, 2019

Artificial intelligence has bested humanity at chess, Go, even StarCraft II. But those games are played against a single opponent in one sitting. Poker requires neural nets to learn skills like tracking a table full of players and maximizing winnings over many games.

Neural networks surpass human abilities in many tasks, with a caveat: Typical supervised learning requires lots of labeled data. New research is pushing back that threshold.

Video highlights are as integral to sports as endorsement deals for star athletes. Now AI is picking the most exciting moments and compiling them quicker than humans.

Nobody wants to sound like a robot over the phone. But maybe a computer can help you bring more humanity to your phone manner.

Generative adversarial networks clearly learn to extract meaningful information about images. After all, they dream up pictures that, to human eyes, can be indistinguishable from photos. Researchers at DeepMind tapped that power, building a GAN that generates feature vectors from images.

My stash of new blank notebooks just arrived in the mail. I have a weakness for stationery. I always feel that if only I had the perfect pen and notebook, I might have better ideas.