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 ...

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

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

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.

Increasingly, the trend in machine learning forms of artificial intelligence is toward larger and larger neural networks. The biggest neural nets, such as such as Google's Pathways Language Model ...

As machine learning leapt forward in subsequent decades, it developed an insatiable appetite for training data. But data is hard to get: It can be expensive, private or in short supply. As a result, ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

The new robot can pull off a decent putt thanks to physics equations and machine learning training.