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 ...

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

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 ...

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

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 ...

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, ...

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

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 ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...