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 ...
Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...
AI agents are beginning to define how organizations operate and compete. Unlike static, rules-based systems, AI agents can ...
Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.
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Diffusion-based AI model successfully trained in electroplating
Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...
To help solve this problem, Generalist has relied on “data hands,” a set of wearable pincers that capture micro-movements and ...
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).
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 ...
A team of Apple researchers has developed a new framework that enables high-resolution 3D scene rendering with far greater ...
Abstract: Event logs record the execution of business processes as sequences of timestamped events. Most predictive process monitoring methods still learn a separate model per log: when the process, ...
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