“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends ...

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Shanechi in their paper. "We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network ...

The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural ...

"Research on ACIM for neural networks computations has gained significant attention, but progress has mostly been in classification tasks (e.g., image classification)," Ze Wang, first author of ...

In a paper published in National Science Review, a Chinese team of scientists systematically summarize the key technical advancements in Neural Architecture Search (NAS), delving into the core ...