In recent years, engineers have been trying to create hardware systems that better support the high computational demands of machine learning algorithms. These include systems that can perform ...

Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, ...

Traditional computing systems struggle with dynamic adaptation and suffer from the separation of sensing, processing, and memory functions, leading to high energy consumption and latency. Neuromorphic ...

Conventional computing devices will play a crucial role in turning quantum computers into tools with real-world application ...

Aethir, a decentralized graphics processing unit (GPU) infrastructure firm, announced the May 23 retail release of Aethir Edge, an edge computing device powered by Qualcomm. Aethir Edge is integrated ...

Scientists have discovered that electron spin loss, long considered waste, can instead drive magnetization switching in spintronic devices, boosting efficiency by up to three times. The scalable, ...

A team from Tokyo University of Science has developed a solar cell-based computing device that mimics human synaptic behaviour to use in edge AI processing. The researchers say the device has the ...