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 ...

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

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. The term “artificial intelligence” was coined seventy years ago, ...

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 ...

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 ...

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 ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

MIAMI, FL, UNITED STATES, January 15, 2026 /EINPresswire.com/ -- In a bold move that could reshape the future of ...

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

Why do we sometimes keep eating even when we're full and other times turn down food completely? Why do we crave salty things ...