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 Research finds Tyrannosaurus rex was unable to run The LHCb experiment announces observation of a new particle Additive Works Joins the Altair Partner Alliance NCSA and Exxon Mobil set a new record for oil and gas simulation Advancing automotive simulation Dassault Systèmes acquires Simpack Optics software focuses on power, convenience Physics from another world LMS Virtual.Lab for Ansys When models outgrow hardware, turn to HPC Schmitz Cargobull streamlines product development with simulation software Interviews highlight the power of scientific computing - Breakthroughs is out now! Pagination Previous page ‹ Previous Page 23
