The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...

Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...

The application of artificial neural networks within textile engineering has emerged as a transformative force, harnessing advanced computational techniques to predict and refine the complex ...

Artificial action values create body-part centered fields, which resemble biological peripersonal neurons. a, When objects offer rewards upon contact, agents maximize value by moving toward ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The photonic microchip (below) developed for the study on physical neural networks, along with the electronic chip (above, the yellow one) of control. Artificial intelligence is now part of our daily ...

The Chinese start-up used several technological tricks, including a method called “mixture of experts,” to significantly reduce the cost of building the technology. By Cade Metz Reporting from San ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...