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MIT’s chip stacking leap could slash energy use for hungry AI chips
Artificial intelligence is colliding with a hard physical limit: the energy it takes to move data on and off chips. Training ...
A chip smaller than one square millimeter stores 160 holographic images at arbitrary 3D coordinates, with each spatial ...
A new chip-based quantum memory uses 3D-printed “light cages” to store light in atomic vapor with high precision. Quantum ...
Funding from the U.S. National Science Foundation is part of a broader push to propel domestic computer chip manufacturing A $3 million grant from the U.S. National Science Foundation (NSF) to the ...
Researchers at Stanford, MIT, and other universities unveiled a new, monolithic 3D processor that could help solve one of the biggest problems facing chipmakers: the processor-memory performance gap.
A new chip-based quantum memory uses nanoprinted “light cages” to trap light inside atomic vapor, enabling fast, reliable ...
As process nodes continue to advance into the sub-micron era, the limitations of traditional scaling are becoming increasingly evident. Larger monolithic chips are facing challenges such as higher ...
Early-stage disease diagnosis relies on the highly sensitive detection of biomarkers. Optical whispering-gallery-mode (WGM) microcavity sensors have emerged as a highly promising technology for ...
Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...
Quantum memories can extend network range via repeaters. A new approach uses 3D-nanoprinted 'light cages' filled with atomic ...
Traditional CMOS chips are fabricated by applying and then etching repeated layers of different materials, applied to a wafer ...
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