Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding ...

Previously met with skepticism, AI won scientists a Nobel Prize for Chemistry in 2024 after they used it to solve the protein folding and design problem, and it has now been adopted by biologists ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Artificial neural networks (ANNs) are increasingly being deployed to refine the estimation of evapotranspiration, a critical component in water resource management and agricultural planning. By ...

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

Scientists integrated proximity and pressure sensors into a commercial bionic hand, and then trained an artificial neural ...