Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Google LLC today detailed RigL, an algorithm developed by its researchers that makes artificial intelligence models more hardware-efficient by shrinking them. Neural networks are made up of so ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency ...

"This study deepens our understanding of the feeding process and the neural regulation mechanism, and provides new ideas for the investigation of feeding-related disorders," said Dr. WANG.

Funding supports next-generation AI agent development and proprietary Intellectual Property, focused initially on pharmaceutical ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

Artificial Intelligence is a fascinating yet complex field, and many people don’t truly understand it until they see it in ...

The race is on to create one neural network that can process multiple kinds of data -- a more-general artificial intelligence that doesn't discriminate about types of data but instead can crunch ...

Meta’s new learning algorithm can teach AI to multi-task The single technique for teaching neural networks multiple skills is a step towards general-purpose AI.