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 ...

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

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

Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate ...

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 ...

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 ...

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 ...

“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 ...

Humanoid robots are starting to gain something that once belonged firmly in the realm of science fiction: a sense of pain.