Over the course of their lives, humans and other animals typically learn to avoid situations and stimuli that are dangerous ...

A team of researchers at the University of California, San Francisco (UCSF), has developed a unique brain-computer interface (BCI) that brings the world one step closer to mind-controlled robots. Here ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research team has used quantum neural networks to classify and extract features from data in databases, ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

New brain-inspired hardware, architectures and algorithms could lead to more efficient, more capable forms of AI.

The brain's ability to process information is known to be supported by intricate connections between different neuron ...

In a recently published review, researchers led by Prof. Wu Qingfeng at the Institute of Genetics and Developmental Biology ...

Neural networks, a type of artificial intelligence modeled on the connectivity of the human brain, are driving critical ...

Recurrent spiking networks that process input stimuli with optimal efficiency have key emerging properties that are similar to those of biological neural networks.

Bridges are critical connectors to transportation systems. They permit transportation of people, resources and services ...

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial ...

While many types of networks have been studied and explicated in great detail—from neural and social networks to photonic ... which gives it a tree-like shape. The structure can be manipulated to move ...