From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...
The "AI Optical Transceiver Market - Global Forecast 2025-2032" has been added to ResearchAndMarkets.com's offering.
Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...
Red blood cells are essential for oxygen transport and immune function in the human body. When these cells become abnormally shaped, they can indicate ...
Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...
Despite its long history, optical character recognition (OCR) hasn’t evolved significantly since its inception.
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