Shrinking ferroelectric tunnel junctions can significantly boost their performance in memory devices, as reported by ...
Nanoscale molybdenum disulfide memristors integrated onto standard CMOS chips achieve the lowest switching voltage reported ...
AZoNano on MSN
Could Graphene Memristors Tackle AI's Energy Use?
This review asks whether graphene-based nanosensors could enhance energy efficiency in AI by integrating memory and computation for advanced information processing.
Just like each person has unique fingerprints, every CMOS chip has a distinctive "fingerprint" caused by tiny, random ...
Data center AI is driving a dramatic ramp in the growth of silicon photonics foundries: 8X growth in just 6 years, from 2026 to 2032. Scale-out is the major driver now. Scale-up will become the ...
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 ...
There's a RAM shortage at the moment. RAM, as in random access memory. The memory computer keeps immediately at hand, so it can perform tasks quickly. How can that be? Well, as with so much these days ...
A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...
Just like each person has unique fingerprints, every CMOS chip has a distinctive "fingerprint" caused by tiny, random manufacturing variations ...
IEEE Spectrum on MSN
New devices might scale the memory wall
An 8-layer stack of bulk RRAM runs a continually-learning neural network ...
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