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 PolyU, Dassault Systèmes and PAIEvo partner to advance AI-driven scientific research Siemens targets simulation efficiency with model re-use capabilities Quantum hardware models fusion reactor materials in scientific first CMA launches investigation into suspected anti-competitive conduct in SolidWorks software market Destination Earth enters next phase to advance Europe's digital twins Bentley accelerates digital transformation to support Beyond100+ strategy Georgia Tech deploys digital twins to support Atlanta’s World Cup operations Synopsys launches multiphysics fusion portfolio to accelerate advanced chip design Classiq and Rolls-Royce explore quantum computing’s role in engineering simulation workflows Keysight joins Siemens partner programme to bring AI-driven testing to digital engineering workflows Airbus deploys a new generation of supercomputers to accelerate aircraft design Digital twins could remove scale-up guesswork in industrial biotechnology Pagination Previous page ‹ Previous Page 2 Next page Next ›