Samsung Electronics Co. announced on Thursday that it has developed low-power server memory solutions designed to support ...
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How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
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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 ...
Multispectral Intelligent Vision System with Embedded Low-Power Neural Computing is now nearing completion.
Researchers at MIT have developed a new computer chip fabrication method that integrates logic and memory devices to ...
Mythic, a Palo Alto-based AI chip company, has raised $125 million in a funding round to develop analog processing units ...
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
Capping a dramatic turnaround, Mythic has raised $125M in an oversubscribed funding round led by DCVC to solve the biggest ...
A new technical paper titled “Fast prototyping of memristors for ReRAMs and neuromorphic computing” was published by ...
Embedded systems need more power and reliability in smaller designs. What if one chip could boost speed, cut energy use, and ...
Researchers from the University of Southern California Information Sciences Institute and the University of Wisconsin-Madison ...
Explore how the Apple M4 chip desktop enhances iMac performance, creative workflows, and future Apple silicon innovations ...
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