Compute-in-memory chips like GSI’s APU could reshape AI hardware by blending memory and computation, though scalability ...
GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...
Researchers focus on limiting data movement to reduce power and latency in edge devices. In popular media, “AI” usually means ...
A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of everything from searches on the internet to artificial intelligence, has ...
The ability of super chips to perform training and inference on future AI models requires improved memory systems that can ...
Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, ...
In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...
Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...
Japanese tech conglomerate SoftBank announced a $6.5 billion acquisition of Arm server CPU upstart Ampere Computing back in ...
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