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 ...
Announcing a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250263 SHANNON, CLARE, IRELAND, April ...
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 ...
A project at Rice University has developed a new machine learning (ML) algorithm intended to improve the identification of biomarkers in optical spectra. As reported in ACS Nano, the algorithm could ...
From the camera in a smartphone to the microscopes in a laboratory, traditional optics are constrained by physical laws that dictate the size and thickness. However, a revolution is underway with the ...
Professor Iksung Kang, KAIST >Observing the depths of a living brain with clarity has traditionally required expensive, high-end equipment. However ...
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
Why standard, cuff-based blood-pressure measurements are insufficient for some desired types of assessments. How electro-optical techniques can be used for consistent, real-time data. The results ...
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