KAIST and Chungnam researchers build artificial sensory nerves for energy-efficient robots that mimic human habituation and sensitization.

The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize ...

The resulting benefit can vary accordingly. “A small simple branch predictor might speed up a processor by 15%, whereas a ...

NVIDIA is reportedly preparing 800,000+ units of LPDDR-based SOCAMM memory for AI PCs, demand expected to explode with ...

Synchron rarely lets journalists visit its New York office. What I saw there reveals the growing potential of brain-computer ...

With chiplets gaining traction, chip designers face a critical question: When should you step away from a monolithic ASIC?

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...

The rapid development of IoT applications calls for re-configurable IoT devices that can easily extend new functionality on demand. However, in the current architecture, updating chip functions on the ...

Employing high-performance neural network models is challenging for resource-constrained devices as the models require strong computing power and large memory space. One-shot neural architecture ...