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 acquires Geomagic to power next-gen 3D design and manufacturing Red Bull Sim Racing and Hexagon launch global skills challenge Accenture Siemens business group plans to reinvent engineering Phasecraft develops algorithm to improve quantum simulation efficiency Siemens acquires Altair DESI results hints that dark energy may evolve Altair joins the Piedmont Aerospace Cluster Efficient software model could democratise access to geospatial analysis Viridien and Matnex partnership aims to accelerate AI-powered materials discovery EU launches €200 billion AI investment initiative LightSolver partners with Ansys to accelerate CAE modelling Oak Ridge quantum researchers develop first-of-its-kind quantum gate Pagination Previous page ‹ Previous Page 11 Next page Next ›
