Engineering and physics MIT researchers develop AI models that learn physics more efficiently A new machine learning approach enables AI models to simulate a wider range of physical scenarios while reducing the amount of training data required. Latest Content Physical Superintelligence launches AI-native physics lab NASA awards Infleqtion $20m for quantum gravity mission Siemens and Reinhausen develop direct current power solutions for AI data centers New technologies AI engineering assisstant released to cosnsumers Hexagon introduces Elements system-level modelling software White papers Flexible, scalable and sustainable: the new power behind tomorrow’s weather predictions The world’s leading weather-forecasting companies, usually process weather data four times a day, which, depending on the speed of execution, can t Engineering reaches for the cloud Computational engineering is set for strong growth – and the use of the cloud is burgeoning Overcoming challenges of HPC Clusters for Simulation & Modeling Engineers working in an increasingly broad range of industries are using HPC to execute simulation workloads. Webcasts On Demand Webinar: Consolidating computing resources can democratise research infrastructure More content Sea of data Altair Acquires newFASANT Altair adds virtual crash cest dummy models to its Altair Radioss portfolio E-Motor Design using Multiphysics Optimization for Porsche AG Onscale raises $10 million from Intel Capital and Gradient Ventures Model Medical Devices Simulation driven design in Paris Simulating the future of cycling OLI Partners with KBC dSPACE announces highly dynamic emulation of electric motor and battery components Electronics everywhere Altair expands thermal capabilities for electronics Pagination Previous page ‹ Previous Page 22 Next page Next ›
