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.

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

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

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 ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

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

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

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

A recent study published in npj 2D Materials and Applications explores hexagonal boron nitride (h-BN) atomristors, highlighting their notable memory window, low leakage current, and minimal power ...

Researchers at the Indian Institute of Science have created adaptable molecular devices that can function as memory units, logic gates, processors, or electronic synapses.

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 ...