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 ...

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 ...

China’s latest neuromorphic project has pushed a once speculative idea into the realm of claimed reality: a monkey’s brain activity, recreated inside a supercomputer. The country’s researchers say ...

Adding zinc ions to lithium niobate crystals cuts the energy needed for polarization switching by 69%, enabling visible-light programming of memristors for brain-inspired computing.

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 ...

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 ...

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 ...

Despite lacking a hippocampus entirely—and having diverged from the mammalian lineage roughly 400 million years ago—larval ...

Dr. Joseph S. Friedman and his colleagues at The University of Texas at Dallas created a computer prototype that learns patterns and makes predictions using fewer training computations than ...