Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...

A new study has revealed that neural inhibition and balanced neural activity in a specific area of the brain is required for ...

Boosting communication between the spinal nerves and the muscles using the spinal cord stimulation reverses spinal muscle atrophy (SMA) progression and could be applied to other motoneuron diseases, ...

David Duvenaud was collaborating on a project involving medical data when he ran up against a major shortcoming in AI. An AI researcher at the University of Toronto, he wanted to build a deep-learning ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...