Uses for Neural Networks A major reason for the popularity of neural networks is that they can solve real-world problems and make intelligent decisions with little to no human intervention.

A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher. Artificial neurons—the fundamental building blocks of deep neural networks—have survived almost ...

Such networks are being used in chemistry and drug discovery as well, for example to predict the binding affinities of proteins and ligands based on their structures. In combination with a technique ...

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural ...

These networks could be powerful and lightweight, so people could use them with smaller electronic devices. And in time, we could have neural networks operating nearly everywhere.

Many of today’s leading AI systems are recurrent neural networks . This deep-learning method uses past information to improve performance on current and future inputs, But AI memory problem ...

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 ...

Neuroscientists are finding that deep-learning networks, often criticized as “black boxes,” can be good models for the organization of living brains.