Webinars

See how engineering teams turn existing build and test data into validated physical AI workflows that improve calibration decisions and reduce repetitive physical testing.

Four global EV battery and AI leaders analyse critical findings from the 2024 AI in EV Battery Validation study and give their outlook on the industry.

How engineers accelerate vehicle development with AI-based virtual testing, replacing expensive, time-intensive prototype tests with data-driven models. 

A 15-minute deep dive into Monolith time series models and the untapped opportunities series data offers over conventional structured tabular data. 

A fireside chat on the first-ever State of AI in Engineering study, commissioned by CoreWeave and conducted by Forrester Consulting across 163 R&D leaders.

See how AI-guided anomaly detection finds errors in engineering test data faster, offloading engineers from tedious inspection and reducing costly retesting.

CoreWeave Physical AI and About:Energy have partnered to accelerate the development and testing of next-generation EV batteries for OEMs and cell manufacturers.

‍

CoreWeave Physical AI engineers explain Model Context Protocol in practical terms and show real examples of how it speeds up engineering R&D and testing workflows.

Transform the development process to speed up next-generation cell technology. Join Factorial Energy and Monolith to explore solid-state battery development.

CoreWeave Physical AI engineers demo the Next Test Recommender, which assesses previously gathered data to suggest the most effective new tests to conduct.