Industrial AI Podcast MathWorks and the evolution of AI in engineering
Nov 12, 2025
Richard Rovner, Vice President of Marketing at MathWorks with a 25-year tenure, dives into how AI has transformed engineering. He traces the evolution from 90s neural networks to today's AI copilots and model-based design. Richard shares insights on the significance of generative AI and the crucial human role amid automation. He discusses real-world applications like Coca-Cola's machine learning innovations and the upcoming Simulink Copilot. As engineering roles evolve, he highlights the need for AI literacy and cross-discipline collaboration in this rapidly shifting landscape.
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Early Neural Network Work In Ulm
- Richard recalled doing image‑processing research with neural networks at FAW Ulm in 1989–1990.
- He used AI to detect anomalies in images during that project.
AI Was Built Into MATLAB From The Start
- MathWorks embedded AI early because MATLAB's matrix core naturally fits linear algebra used in AI.
- MathWorks released Neural Network Toolbox in 1992 and iteratively expanded AI features since then.
The 2016 GPU Moment Changed Everything
- The 2016 GPU/deep learning moment accelerated MathWorks' focus toward deep learning and tool accessibility.
- MathWorks added Deep Learning Toolbox, apps, and GUIs to make AI accessible to engineers.