Researchers developed a technique that senses a model's electromagnetic 'signature' and compares it to other models run on ...

Westlake University in China and the California Institute of Technology have designed a protein-based system inside living ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Scientists have developed a groundbreaking method to uncover how deep neural networks “think,” finally shedding light on ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ ...

A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient ...

Some early experimentation suggests that these new ideas might replace the transformer as a fundamental neural network design ...

New photonic chip technology processes deep neural networks using light, achieving 96% accuracy during training with minimal ...

The human brain begins learning through spontaneous random activities even before it receives sensory information from the ...

Professor Se-Bum Paik's research team in the KAIST Department of Brain Cognitive Sciences solves the weight transport problem in artificial neural network learning by imitating random neural activity ...

DeepSeek put its algorithm to the test by comparing it with three other open-source LLMs: the previous-generation DeepSeek-V2 ...