Webinar highlights
Discover how Next Test Recommender (NTR), created by CoreWeave Physical AI, empowers engineers to make informed decisions, optimize their test plans, and maintain responsibility for continuously improving the final product’s safety, quality, and reliability.
In this on-demand session, you’ll explore:
- Engineering test plan strategies, their benefits, and their limitations—random vs. uncertainty vs. robust active learning
- How to predict a new test’s outcome ahead of time
- How to leverage your test data to train and evaluate AI models, making efficient use of expensive test facilities
- Which test conditions matter most to vary from one test to the next
- Using interactive prediction features to identify the next tests to run
