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Abstract: A showcase of the Schmidt Fellows’ working groups, also known as “AI Carpentries”, in which Schmidt Fellows bring together their diverse domain and AI expertise to converge on AI methods to enhance scientific discovery. These collaborative communities inspire new ideas and research avenues across domains. The panel will show how faculty can leverage the AI expertise and interdisciplinary community built within the cohort to help with their research. The panel will be structured around three carpentries with the following focuses: New to AI: Understanding the framework of AI models to help researchers get started in the application of AI in science and engineering Deep Learning: Exploring the potential and limitations of deep learning in the field of science and engineering. Explainable AI: Improving trustworthiness of data-driven modeling in science and engineering using Explainable AI and other relevant methods. About the event: Organized by the 2022 cohort of U-M Schmidt AI in Science Fellows. Faculty members, researchers, and trainees joined MIDAS for a day of insightful presentations and discussions on the latest trends and developments in AI for science and engineering. To explore the event program and learn more about the speakers, please visit the event webpage at https://midas.umich.edu/ai-in-science....