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 Hexagon introduces Elements system-level modelling software DOE announces $47 Million for nuclear research £14 million funding for sustainable smart factory research Multibody simulation drives dynamic system design Los Alamos to lead nuclear research partnership Flexible, scalable and sustainable: the new power behind tomorrow’s weather predictions US Department of Energy announces $3.6 Million to diversify nuclear physics Micropep raises €8.75 million to deliver cost-effective alternatives to conventional crop protection Advancing additive manufacturing Centre of Excellence in emerging digital technologies officially opens in Liverpool Engineering reaches for the cloud The chemistry of real-time analytics Pagination Previous page ‹ Previous Page 20 Next page Next ›