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.
Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building the ...
The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia ...
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 ...
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, ...
Researchers developing next-generation computer systems at Rochester Institute of Technology are designing brain-inspired computer architectures using memristors that will have increased processing ...
Tsinghua University–China Electronics Technology HIK Group Co. Joint Research Center for Brain-Inspired Computing has the following research output in the current window (1 September 2024 - 31 August ...
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 ...
Kaushik Roy is the Edward G. Tiedemann, Jr., Distinguished Professor of Electrical and Computer Engineering at Purdue University and Director of the Center for Brain-Inspired Computing (C-BRIC). He ...
A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...
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 ...