Hardware news

Hardware

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, slashing energy use by ...

Hardware

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation through the use of passive ...

Hardware

New memristor-based converter boosts energy efficiency in AI hardware

A cross-institutional team led by researchers from the Department of Electrical and Electronic Engineering (EEE), under the Faculty of Engineering at The University of Hong Kong (HKU), have achieved a major breakthrough in ...

Hardware

First monolithic 3D chip built in U.S. foundry delivers major AI speed gains

A collaborative team has achieved the first monolithic 3D chip built in a U.S. foundry, delivering the densest 3D chip wiring and order-of-magnitude speed gains.

Hardware

Amazon unveils new AI chip in battle against Nvidia

Amazon Web Services launched its in-house-built Trainium3 AI chip on Tuesday, marking a significant push to compete with Nvidia in the lucrative market for artificial intelligence computing power.

Hardware

Vulnerability in confidential cloud environments uncovered

Some data is so sensitive that it is processed only in specially protected cloud areas. These are designed to ensure that not even a cloud provider can access the data. ETH Zurich researchers have now found a vulnerability ...