An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

This project implements a machine learning-based deformer for Autodesk Maya that automatically predicts corrective blendshapes based on skeletal joint poses. The system learns from artist-provided or ...

MLFCrafter is a Python Tool that simplifies machine learning pipeline creation through chainable "crafter" components. Build, train, and deploy ML models with minimal code and maximum flexibility.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Abstract: Accurately modeling the thermal dynamics within buildings is critical for optimizing thermostatically controlled loads (TCLs), yet remains challenging due to system nonlinearities.

Abstract: Fighter pilots train maneuvers and missions in simulators with and against simulated entities that must exhibit realistic behavior for effective training. However, current simulated entities ...

In modern biology, the ability to predict complex interactions between molecules, cells, and systems is crucial. Computational modeling has emerged as an indispensable tool for researchers, enabling ...