In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Chinese researchers harness probabilistic updates on memristor hardware to slash AI training energy use by orders of magnitude, paving the way for ultra-efficient electronics.

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

Elon Musk doesn’t want Tesla to be just an automaker. He wants Tesla to be an AI company, one that’s figured out how to make cars drive themselves. Crucial to that mission was Dojo, a custom-built ...

For all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner workings has always been near ...

A simple and clear explanation of stochastic depth — a powerful regularization technique that improves deep neural network ...