For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

The initiative expands access to neuromorphic computing, a system that uses chips that mimic the human brain to save energy.

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

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. Pixabay, ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia National Laboratories (SNL) in the US demonstrated a novel algorithm that uses neuromorphic ...

A new technical paper titled “An Ultra-Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing” was published by researchers at ...

DUBLIN--(BUSINESS WIRE)--The "The Global Market for Low Power/High Efficiency AI Semiconductors 2026-2036" has been added to ResearchAndMarkets.com's offering. The market for low power/high efficiency ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...