Researchers at Empa have developed machine learning algorithms that reduce preliminary testing in laser-based metal additive manufacturing by about two-thirds without compromising quality. Using ...
Researchers at Rice University and The University of Texas MD Anderson Cancer Center have developed a compact, artificial ...
Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between batches of identical material. Empa researchers Giulio ...
Spatial-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...
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AI computation enables clearer views of the deep brain, bypassing the need for expensive equipment
Professor Iksung Kang (School of Electrical Engineering), in collaboration with Professor Na Ji's research team at UC Berkeley, has developed a technology that accurately corrects image aberrations in ...
As technology advances, and the demand for faster, higher-bandwidth, and more energy-efficient data processing continues to ...
The Machine Vision Market is gaining significant momentum as industries worldwide increasingly adopt automation technologies to enhance productivity, improve product quality, and reduce operational ...
Announcing a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250263 SHANNON, CLARE, IRELAND, April ...
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Infleqtion Q1 Earnings Call Highlights
What's Behind D-Wave's Spring Rally, and Will It Continue? Infleqtion (NYSE:INFQ) reported record first-quarter revenue and raised its 2026 sales outlook as management pointed to expanding customer ...
Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.
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