Numbers refer to a full list of publications for WB. [103.] Synergy from silence in a combinatorial neural code. E Schneidman, JL Puchalla, RA Harris, W Bialek & MJ Berry II, submitted. [87.] An ...

It's easy to think that machine learning is a completely digital phenomenon, made possible by computers and algorithms that ...

Central to Sapient’s success is its hybrid architecture that blends Transformer components with recurrent neural network ...

There’s tinn — the tiny neural network. If you can compile 200 lines of standard C code with a C or C++ compiler, you are in business. There are no dependencies on other code. On the other ...

"Decoding goals and movement plans is hard when you don't understand the neural code in which those things are communicated." Mr Musk's companies SpaceX and Tesla have captured the public ...

His research area is behavioral neuroscience with a focus on neural coding of social information. A quantitative understanding of social behavior and the circuits implicated in processing these events ...

AlphaQubit, a recurrent-transformer neural network, outperforms state-of-the-art decoders in quantum error correction, ...

A research group led by Prof. Cai Xinxia from the Aerospace Information Research Institute (AIR) of the Chinese Academy of ...