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 ...
Professor Iksung Kang, KAIST >Observing the depths of a living brain with clarity has traditionally required expensive, high-end equipment. However ...
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 ...
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 ...
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 ...
A team of international scientists from Lawrence Livermore National Laboratory (LLNL), Fraunhofer Institute for Laser Technology (ILT), and the Extreme Light Infrastructure (ELI) have collaborated on ...
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 ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
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