- Friday, October 4, 2024 - 11:00 am(Santiago de Chile time)
- Speaker: Pedro Mário Cruz e Silva, Ph.D. in Computer Science from the Pontifical Catholic University of Rio de Janeiro. Currently is the Solution Architect for Higher-Education and Research in the Latin America Region.
- This talk is in Spanish
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Abstract
This talk offers participants a comprehensive introduction to the integration of physics and machine learning. Participants will learn how to leverage physics-based constraints in machine learning models using the NVIDIA Modulus framework, enabling more accurate and interpretable predictions.
Pedro Mario Cruz e Silva
Pedro Mário Cruz e Silva did his BSc (1995), and MSc (1998) at Federal University of Pernambuco (UFPE), he also did his DSc in 2004 at PUC-Rio. He created the Computational Geophysics Group at PUC-Rio were worked for 15 years as Manager, during this period was responsible for several Software Development and R&D projects for Geophysics with strong focus on innovation. He also finished an MBA in 2015 at Getúlio Vargas Foundation (FGV/RJ). Currently is the Solution Architect for Higher-Education and Research in the Latin America Region.