When you buy through links on our articles, Future and its syndication partners may earn a commission. Although neuromorphic computing was first proposed by scientist Carver Mead in the late 1980s, it ...

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 computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...

Next-generation computing systems modeled after the human brain’s information processing capability and energy efficiency are becoming a reality through work by Dhireesha Kudithipudi. Her research ...

Physicists are developing an innovative approach that will significantly improve the energy efficiency of computers. They take their inspiration from the human brain. (Nanowerk News) The rapid ...

The Semiconductor Device Research Laboratory (SDRL) is working on manufacturing semiconductors in space and using memory technology based on the mechanisms of the brain. The SDRL is researching how to ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

The brain is a great source of inspiration for Alexander Ororbia, an assistant professor of computer science and cognitive science at RIT. By mimicking how neurons in the brain learn, Ororbia is ...