Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...

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 ...

Rapid development of artificial intelligence requires the implementation of hardware systems with bioinspired parallel ...

In a recent article published in Nature Communications, researchers from China presented a significant advancement in neuromorphic computing through the development of ultra-low-power carbon ...

Researchers demonstrate that a single transistor can mimic neural and synaptic behaviors, bringing brain-inspired computing closer to reality. (Nanowerk News) Researchers from the National University ...

A review paper by scientists at Beijing Institute of Graphic Communication presented  a thorough review of the existing ...

(Nanowerk News) A research team consisting of NIMS and the Tokyo University of Science has developed the fastest electric double layer transistor using a highly ion conductive ceramic thin film and a ...

TL;DR: Scientists at the National University of Singapore have developed a silicon transistor that mimics biological neurons and synapses, offering a scalable and energy-efficient solution for ...

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 ...

Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...