UT Game Group Unveils AI Project
My friends at the Digital Media Collaboratory at the University of Texas at Austin have been working on a very cool artificial intelligence. The idea behind the research was to develop an artificial intelligence program that allowed humans to train in-game characters to react in certain ways to certain situations – with each evolution of the characters retaining their memory. In other words, you teach the computer-generated characters how to learn.
My friend Aliza Gold, whom I first met in Austin a few years back, has been keeping me up to date on the program as time allows. She’s wicked smart, and I spent several afternoons drinking coffee with her, trying to keep up with what she was talking about. Along with the release of the game is the actual research over at the site.
There’s a nice, big conversation going on at Slashdot about this as well.
Keep Reading
Most Popular
Large language models can do jaw-dropping things. But nobody knows exactly why.
And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.
The problem with plug-in hybrids? Their drivers.
Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.
How scientists traced a mysterious covid case back to six toilets
When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.
Google DeepMind’s new generative model makes Super Mario–like games from scratch
Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.