Acoustic synapses outperform standard, electronic AI hardware ...

Inspired by the human brain, Oregon State University researchers have developed a new light-sensitive device that combines ...

Inspired by human brain, neuromorphic computing technologies have made important breakthroughs in recent years as alternatives to overcome the power and latency shortfalls of traditional digital ...

Researchers from the Department of Electrical and Computer Engineering in the Faculty of Engineering at the University of ...

In emerging computing fields like quantum computing and neuromorphic computing, hardware usually grabs the lion’s share of attention. You can see the systems and the chips that drive them, talk about ...

A technical paper titled “SpikeHard: Efficiency-Driven Neuromorphic Hardware for Heterogeneous Systems-on-Chip” was published by researchers at Columbia University. “Neuromorphic computing is an ...

It should be possible to build a silicon version of the human cerebral cortex with the transistor technology that was in production in 2013. The resulting machine would take up less than a cubic meter ...

Dublin, April 28, 2026 (GLOBE NEWSWIRE)-- The "Neuromorphic Computing's Two-Market Problem: A Capital Allocation Framework for Four Competing Brain-Inspired Architectures, 2025-2030" report has been ...

New research illustrates neuromorphic technology is up to sixteen times more energy-efficient for large deep learning networks than other AI systems. For the first time TU Graz's Institute of ...

Researchers fabricated a brain-inspired highly scalable neuromorphic hardware by co-integrating single transistor neurons and synapses. Using standard silicon complementary metal-oxide-semiconductor ...