Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...
Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science. Classical machine learning approaches to molecular dynamics (MD) encode ...
Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...
Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that omits traditional physics constraints like energy conservation and equivariance.
At SAE World Congress 2026, Luminary, the Physics AI company, today announced SHIFT-Crash, the first Physics AI model that predicts full-vehicle crash response, including deformation and stress fields ...
Markerless technologies, such as depth camera systems (e.g., Azure Kinect) and emerging smartphone-based pipelines (e.g., OpenCap), promise laboratory-grade motion capture without markers. However, ...
New COLIBRE simulations show how cold gas and dust help galaxies evolve from the early universe to today. (CREDIT: Monthly ...
Simulations Plus is a global leader in model-informed and AI-accelerated drug development. We create value for our clients by accelerating the discovery, development, and commercialization of ...
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Goldman tackles AI’s missing link: the ‘world model’ that every AI godfather is racing to figure out
The researchers who built modern AI say it's still missing something fundamental. Goldman Sachs explains what—and why the ...
Every major consultancy is selling an AI governance framework right now. The market is crowded: maturity models, policy ...
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