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 Rescale and US national laboratories propose initiative to expand access to DOE simulation codes Fraunhofer develops digital tools to accelerate production of higher-performance batteries Trillion Labs develops ‘world models’ for next-generation AI factories PhysicsX raises $300 million Series C to expand industrial AI platform Quantinuum and Mitsubishi Electric form strategic quantum computing partnership Argonne and UIC launch AI-driven scientific research collaborations John Ziadat Karen Willcox Ivan Krajinović Tyler Rourke Johannes Grau Are Magnus Bruaset Pagination Previous page ‹ Previous Page 3 Next page Next ›
