Tianyi Zhu from MathWorks explains the key differences between AI agents and chatbots, highlighting how agentic AI acts as a powerful amplifier for engineers. The discussion covers practical use cases in MATLAB and Simulink, measurable ROI in automotive workflows, and strategies for safely integrating non-deterministic AI into high-stakes engineering environments.
Nominal's co-founders discuss the new age of reindustrialization and the critical need for a modern data infrastructure in hardware engineering. They explain how their platform acts as a 'GitHub for hardware data,' providing a system of record for testing that bridges the gap between simulation and reality, and serves as the essential verification layer for the future of 'Physical AI'.
A summary of the discussion with Dan Wang, author of "Breakneck", comparing the US and China through the lens of engineering versus legal mindsets. The conversation explores differences in infrastructure, industrial policy, manufacturing scale, and foreign policy, arguing for a nuanced view of a long-term competition rather than a short-term race.