Event Overview
Building reliable physical systems is too slow, too expensive, and too uncertain. Mainstream AI can’t solve this challenge alone because it is fundamentally ungrounded in physics. Meanwhile, traditional simulation and testing workflows can no longer keep pace with the growing complexity of modern robotics, vehicles, energy systems, and industrial automation. To break this bottleneck, companies must combine AI and high‑fidelity simulation into a unified development loop that enables co-design, accelerates development, improves prediction quality, reduces physical testing burdens, and builds trustworthy, physically grounded intelligence.
Analog Devices, Inc. (ADI), CoreWeave, Monolith, and Weights & Biases each address these challenges from different but complementary angles, united by a shared belief that the future of innovation in physical systems lies at the intersection of physics‑based simulation, domain‑specific AI, and rigorous model governance. Join this webinar to learn how these approaches come together to transform the way complex physical systems are designed, tested, and deployed.