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 Michael Broadhurst Christian Becker Jamie Bramwell Agnes Blom-Schieber Argonne explores how AI could accelerate next-generation materials design Bull completes rollout to support Airbus' growing demand for HPC Stellantis and Accenture partner with Nvidia to advance AI-driven manufacturing H2 Core Systems builds scalable hydrogen energy solutions with Siemens Xcelerator Oklo and Idaho National Laboratory to deploy AI-enabled reactor design for advanced nuclear systems Hexagon completes €2.7bn sale of design business to Cadence in strategic overhaul Nvidia provides modular Omniverse libraries to speed up physical AI adoption AI framework promises faster, more reliable metal 3D printing Pagination Previous page ‹ Previous Page 4 Next page Next ›
