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

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...

A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

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

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine ...

42 Technology is partnering with Innatera, a leader in brain-inspired Edge AI processors, to help its clients access the ...