Please join us on Friday, June 10 at noon to learn more about GE Research Center's pioneering work with Artificial Intelligence and the Engineering Design Cycle. Please register to join the talk by Wednesday, June 8 @ 5PM.
*NEW LINK* Zoom Meeting Registration Link (required): click hereExploiting AI for Design Process Improvements at Enterprise Scale
Digital Thread for Design (DT4D) is a design community ecosystem created at the GE Research Center around three fundamental "pillars" of function relevant to design/modeling/simulation communities. Those pillars are: (1) Workflow Orchestration & Execution, (2) Data Management and Socialization, and (3) Surrogate Modeling using A.I./M.L. The intent of DT4D is to greatly accelerate the pace at which engineering models are created, validated, exploited, and socialized throughout a product's lifecycle by leveraging the inherent speed advantage of a surrogate model over expensive "physics-based" simulations.
DT4D is designed to empower non-AI/ML experts to transform their physics-based workflows into A.I. surrogates, toward the realization of engineering outcomes predicated on simulation speed. This talk will provide an overview of DT4D and share some of the usage examples where & how DT4D has been applied to engineering problems of relevance to the General Electric company.
James Tallman, Ph.D.
Dr. James Tallman completed his B.S. in Mechanical Engineering at the University of Minnesota in 1997, and his M.S. and Ph.D. in Mechanical Engineering from Penn State University in 1999 and 2002, respectively. Since then, Dr. Tallman has almost 20 years of experience in industrial R&D at GE Research in Niskayuna, NY – focusing primarily on gas turbine component aero/thermal/mechanical design improvements through both experimental and computational methods.
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