Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like ...

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

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Weather prediction systems provide critical information about dangerous storms, deadly heat waves and potential droughts, ...

A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics by Ingrid Fadelli, Phys.org Editors' notes ...

In 1982 physicist John Hopfield translated this theoretical neuroscience concept into the artificial intelligence realm, with the formulation of the Hopfield network. In doing so, not only did he ...

Harmonic raises $100M at nearly $900M valuation to scale AI model for formal mathematical reasoning - SiliconANGLE ...

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.

Per Bloomberg, the round values Liquid AI at over $2 billion. Liquid AI aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network.

How AI models are getting smarter Deep neural networks are learning diffusion and other tricks ...