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Join us for our ongoing Data-Driven Science & Engineering Seminar Series organized by the AI Institute in Dynamic Systems. Visit our website to sign up for the seminar mailing list to receive future announcements and to view recordings from past events!
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The ICICLE Seminar Series is happy to announce the next set of speakers for June 13th, 2024: Professor Laura Schmidt from UCSF and Dr. Amarnath Gupta from the San Diego Supercomputer Center will be joining us to talk about NSF Convergence Accelerator Track J Award entitled NOURISH, the Network Of User-Engaged Researchers building Interdisciplinary Scientific Continue reading "ICICLE Seminar Series featuring Professor Laura Schmidt and Dr. Amarnath Gupta" |
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Workshop | Machine Learning for Science & Engineering
Physics-informed Machine Learning (ML) continues to emerge as a leading paradigm integrating artificial intelligence (AI) with engineering dynamic systems. This approach provides new capabilities in real-time sensing, learning, decision-making, and predictions that are ethical, efficient, reliable, safe, and imbued with uncertainty quantification. The foundations of physics-informed ML are rooted in four key disciplines: (i) controlContinue reading "Workshop | Machine Learning for Science & Engineering" |
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