Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
Technical Lead and Lead Designer at the University of Southern California (USC), where she plays a key role in two California ...
Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.
AI agents are beginning to define how organizations operate and compete. Unlike static, rules-based systems, AI agents can ...
The Quarterly Projection Model (QPM) is one of the IMF’s standard frameworks for monetary policy analysis and forms a core component of a forward‑looking Forecasting and Policy Analysis System (FPAS).
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...
Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
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Abstract: This paper proposes an iterative learning model predictive control(IILMPC) strategy based on mixed-integer quadratic programming (MIQP) to address the phase ...
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