Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

Princeton engineers used neural networks and metasurfaces to bend ultrahigh-frequency beams around obstacles, tackling signal collapse in cluttered environments.

Selecting the right material from countless possibilities remains a central hurdle in materials discovery. Theory-driven ...

Neural networks are machine learning models consisting of interconnected nodes that process information to make decisions, while deep neural networks have multiple hidden layers that enable them ...

This data point gives machine learning researchers confidence their work still has relevance to biological source material, and neuroscientists are excited about the possibility of exploring brain ...

Brainchip has introduced a new generation of its unique, bio-inspired Akida line of licensable, configurable neural processing IP.

To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.

Simply put, most machine learning models lack a “rewind button” to back out the traces of problematic data, particularly those based on neural networks.

According to a report from Financial界 on August 27, 2025, NAGRA Imaging Co., Ltd. has recently applied for a patent titled "Media Certification Based on Machine Learning Output Features," attracting ...