What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research from Goodfire.ai that reveals a clean architectural split between memorization ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Hopfield Neural Networks (HNNs) constitute a class of recurrent neural networks that function as associative memory systems, adept at converging towards stable states that represent optimised ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Researchers discuss how mimicking sleep patterns of the human brain in artificial neural networks may help mitigate the threat of catastrophic forgetting in the latter, boosting their utility across a ...

The concepts and jargon you need to understand ChatGPT. By Adam Pasick We’ve compiled a list of phrases and concepts useful to understanding artificial intelligence, in particular the new breed of A.I ...

For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...