About 100 million metric tons of high-density polyethylene (HDPE), one of the world's most commonly used plastics, are ...
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has made ...
Artificial intelligence and machine learning are no longer abstract concepts confined to academic discussions but stand at ...
According to IEEE.org this brain computer interface (BCI) is looking promising for giving paralyzed patients the ability to ...
This review discusses the current state of multicancer early detection tests, the role of machine learning in their ...
Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement learning (RL) for liquid chromatography (LC) ...
Latent-EnSF outperformed three comparable models in assimilation speed, accuracy, and efficiency in shallow water wave ...
Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool ...
In this rapidly growing digital era, privacy-preserving machine learning (PPML) is revolutionizing data-driven applications ...
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Tech Xplore on MSNMachine learning precisely predicts material characteristics for high-performance photovoltaicsIn the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with ...
A researcher with expertise in cybersecurity, Vishwadeep Saxena explores the transformative impact of machine learning (ML) ...
In a recent study, researcher Anandasankar Ray at the University of California, Riverside, and his team employed machine ...
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