首页|Researcher's Work from University of Tennessee Focuses on Machine Learning (Human-in-the-Loop: The Future of Machine Learning in Automated Electron Microscopy)
Researcher's Work from University of Tennessee Focuses on Machine Learning (Human-in-the-Loop: The Future of Machine Learning in Automated Electron Microscopy)
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Investigators discuss new findings in artificial intelligence. According to news reporting out of Knoxville, Tennessee, by NewsRx editors, research stated, "Machine learning (ML) methods are progressively gaining acceptance in the electron microscopy community for de-noising, semantic segmentation, and dimensionality reduction of data post-acquisition." The news reporters obtained a quote from the research from University of Tennessee: "The introduction of the application programming interfaces (APIs) by major instrument manufacturers now allows the deployment of ML workflows in microscopes, not only for data analytics but also for real-time decisionmaking and feedback for microscope operation. However, the number of use cases for real-time ML remains remarkably small."
University of TennesseeKnoxvilleTennesseeUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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