News

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.
Brainchip has introduced a new generation of its unique, bio-inspired Akida line of licensable, configurable neural processing IP.
Scientists from Tomsk Polytechnic University, together with their colleagues, analyzed various methods of planning experiments to determine the optimal technological parameters of polymer scaffold ...
Mimicking the brain AI has become shorthand for machine learning using artificial neural networks. This technology – developed by Hopfield and Hinton – is based on the structure of the brain.
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, ...
Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and ...
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 ...