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

Editor’s note: EE Times’ Special Project on neuromorphic computing provides you with everything you need to know about neuromorphic computers from the basics, in the article below, to if it’s a bridge ...

Designed for next-generation sustainable electronics, the new artificial synapse combines femtojoule-level power consumption with long-lasting memory and full biodegradability, pointing to ...

The demand for high-performance, energy-efficient computing hardware is growing rapidly, particularly in fields such as artificial intelligence and neuromorphic computing. Researchers have now ...

A look at the latest generation of neural networks called spike neural networks (SNNs), their operation, and the hardware necessary to run those algorithms. The variety of advantages SNNs have over ...

The NASP platform employs trained neural networks in the analogue domain to perform AI inference with much lower power consumption than conventional digital neural processors. Israeli startup Polyn ...

“Reverse engineering the brain by mimicking the structure and function of neuronal networks on a silicon integrated circuit was the original goal of neuromorphic engineering, but remains a distant ...

Spiking neural networks (SNNs) are an implementation of neuromorphic computing, an aspect of artificial intelligence and machine learning (AI/ML). Neuromorphic computing emulates the operation of ...

LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic ...

BrainChip supplies at-the-edge neuromorphic processing to facilitate on-chip learning for deployment network-specific attack detection. Akida’s small form factor provides magnitudes less power ...