"AlphaGo didn’t start out with a valuation system based on lots of detailed knowledge of Go, the way Deep Blue did for chess. Instead, by analyzing thousands of prior games and engaging in a lot of self-play,…Read More
"We’re also seeing significant gains from something called “multitask deep learning,” in which a system trained simultaneously to detect lane markings, cars, and pedestrians does better than three…Read More
Using GAN to simulate positrons! Code https://github.com/hep-lbdl/CaloGAN …
Goal:
The goal of this project is to help physicists at CERN speed up their simulations by encoding the most…Read More
Simulation is a key component of physics analysis in particle physics and nuclear physics. The most computationally expensive simulation step…
"Composing a complete list is practically impossible, as new architectures are invented all the time. Even if published it can still be quite challenging to find them even if you’re looking for them, or sometimes…Read More
"Multiple studies have documented that massive numbers of jobs are at risk as programmed devices – many of them smart, autonomous systems – continue their march into workplaces. A recent study by…Read More
The robots might have the answer. Researchers hope that by creating algorithms that result in a robotic version of curiosity, they can get new ideas about how the human brain pulls off the same trick. An obvious goal…Read More
