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

Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National ...

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 ...

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

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

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 ...

In July, a group of artificial intelligence researchers showcased a self-driving bicycle that could navigate around obstacles, follow a person, and respond to voice commands. While the self-driving ...

This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...

Neuromorphic computing, inspired by the neural architectures and functions of biological brains, is revolutionizing the development of highly efficient, adaptive computing systems. In robotics, this ...

What are spiking neural networks (SNNs)? Why neuromorphic computing is important. How BrainChip’s Akida platform brings neuromorphic computing to embedded applications. Artificial intelligence and ...

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...