A Case Western Reserve University research team will lead an effort to integrate Artificial Intelligence (AI) and sensing to improve materials and processing in manufacturing. The project is part of a long-term, federally funded strategy sponsored by the U.S. Department of Commerce's National Institute of Standards and Technology (NIST) to strengthen U.S. innovation and industrial productivity through the development of "manufacturing technology roadmaps."
According to Nick Barendt, ISSACS' executive director and leader of the CWRU-based roadmapping effort, the project team will work to integrate Artificial Intelligence (AI) and machine-learning (ML) with data from traditional materials science and manufacturing processes and a wide range of sensors, with the goal of improving the full product lifecycle—product design, material selection, process design, quality assurance, service life -- through the use of these technologies.
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