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

A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...

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

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive. That ...

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 ...

A new technical paper titled “Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies” was published by researchers at Univ. Lyon, Ecole Centrale ...

Get the latest federal technology news delivered to your inbox. Last year, the Department of Energy announced $2 million in funding for research on neuromorphic computing, which aims to mimic the ...

For the last hundred or so years, collectively as humanity, we’ve been dreaming, thinking, writing, singing, and producing movies about a machine that could think, reason, and be intelligent in a ...

July 10, 2024 — The U.S. Department of Energy’s Advanced Scientific Computing Research (ASCR) program has announced a Monday July 22 deadline (11:59 pm ET) for position papers for a workship on ...

Titans of the tech field will go head to head to convince each other of where they believe the future of computing lies. Neuromorphic Computing and Engineering editorial board members Kwabena Boahen ...

Our latest and most advanced technologies — from AI to Industrial IoT, advanced robotics, and self-driving cars — share serious problems: massive energy consumption, limited on-edge capabilities, ...