New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia National Laboratories ...

To be successfully deployed on a large-scale and in a wide range of real-world settings, robots should be able to rapidly adjust their movements while interacting with humans and their surroundings, ...

Modern computers struggle to match the efficiency of the human brain. Even recognizing handwritten digits can consume significant energy, largely ...

In the actual brain’s visual cortex, neurons are connected broadly and smoothly around a central point, with connection strength varying gradually with distance (a, b). This spatial connectivity ...

The artificial intelligence systems that guide drones and self-driving cars rely on neural networks—trainable computing systems inspired by the human brain. But the digital computers they run on were ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from ...

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...