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

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 ...

While there are lots of things that artificial intelligence can't do yet—science being one of them—neural networks are proving themselves increasingly adept at a huge variety of pattern recognition ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...

Controlling sensori-motor systems in higher animals or complex robots is a challenging combinatorial problem, because many sensory signals need to be simultaneously coordinated into a broad ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

A new study shows that the physics principle of 'nucleation' can perform complex calculations that rival a simple neural network. The work may suggest avenues for new ways to think about computation ...

MAX78000 reduces energy consumption and latency by a factor of over 100 to enable complex embedded inference decisions at the IoT edge AI technology allows machines to see and hear, making sense of ...