What if next-generation computing systems were able to adopt the human brain’s information processing capacity and energy efficiency? Researchers at Rochester Institute of Technology have begun to ...

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 ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

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, ...

Over the past decades, engineers have introduced a wide range of computing systems inspired by the human brain or designed to emulate some of its functions. These include devices that artificially ...

The realm of artificial intelligence is all set for a major transformation with the advent of brain-inspired computing. One of the key players in this revolution is the Mott neurons, particularly ...

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American For the past few years, tech companies and ...

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 ...

Phase change materials can switch between different states, much like water turning into steam or ice, but at the atomic level. Their unique and controllable properties make them suitable for ...