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 ...

Discover the basics of artificial intelligence, including neural networks and machine learning, to navigate the AI-powered world with confidence and curiosity.

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

The discovery of tools key to machine learning wins the 2024 physics Nobel This year’s laureates did foundational work on artificial neural networks ...

Scientists from Tomsk Polytechnic University, together with their colleagues, analyzed various methods of planning experiments to determine the optimal technological parameters of polymer scaffold ...

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

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

Because physics has contributed tools for the development of machine learning, it is interesting to see how physics, as a research field, is also benefitting from artificial neural networks.

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

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 ...