eventSeminar
Robotics in a Human-Centered World: Innovations and Implications
ConferenceApr 018:30 AM - 6:30 PM
April
01
2025
2025 Spring Conference
The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.
The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.
2025 Spring Conference
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
HAI and Wu Tsai Performance Seminar
Constitutive modeling and parameter identification are the cornerstones of realistic biomedical simulations. For decades, the gold standard in biomedical modeling has been to select a model and then fit its parameters to data. However, the scientific criteria for model selection remain poorly understood, and the success of this approach depends largely on user experience and personal preference.
In this seminar, Kuhl proposes a new method that simultaneously and autonomously discovers the model, parameters, and experiment that best explain a wide variety of biological systems toward more realistic human simulations. She illustrates how we solve this problem by formulating it as a neural network, and leverage the success, robustness, and stability of state-of-the-art optimization tools from deep learning. Out of thousands of possible models, this network discovers a unique constitutive model that outperforms traditional models and, at the same time, identifies the best experiment to train itself. These new constitutive neural networks could initiate a paradigm shift in constitutive modeling—from user-defined model selection to automated model discovery— and forever change how we simulate biomedical systems.
Ellen KuhlWalter B Reinhold Professor in the School of Engineering, Robert Bosch Chair of Mechanical Engineering, Professor of Mechanical Engineering and, by courtesy, of Bioengineering
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