Neuron-powered computer chips can now be easily programmed to play a first-person shooter game, bringing biological computers a step closer to useful applications ...
Nanoscale molybdenum disulfide memristors integrated onto standard CMOS chips achieve the lowest switching voltage reported ...
Nvidia is returning to consumer PCs through new partnerships with Intel and MediaTek, aiming to power AI-enabled laptops that rival Apple’s efficiency.
An international study has revealed a surprising connection between quantum physics and the theoretical models underlying ...
Nanoscale ferroelectric tunnel junctions built on silicon show that shrinking device size dramatically boosts resistance ...
Abstract: This article quantitatively analyzes the limitations to energy efficiency and compute density for in-memory computing (IMC) based on today’s embedded non-volatile memory (eNVM) technology ...
In this role, you will be at the forefront of AI innovation, building AmpereOne Aurora, our groundbreaking AI compute solution ...
Just like each person has unique fingerprints, every CMOS chip has a distinctive "fingerprint" caused by tiny, random ...
SAN FRANCISCO — Researchers from CEA-List and CEA-Leti today unveiled at ISSCC the first electro-optical router with dynamic, frame-level optical routing integrated with CMOS control logic, marking a ...
This review asks whether graphene-based nanosensors could enhance energy efficiency in AI by integrating memory and computation for advanced information processing.
IEEE Spectrum on MSN
New devices might scale the memory wall
An 8-layer stack of bulk RRAM runs a continually-learning neural network ...
Abstract: With the increasingly complex computing requirements of convolutional neural networks (CNNs) in edge computing scenarios, computing-in-memory (CIM) has been proposed to address the ...
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