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Center for Astrophysics Research and Technologies Seminar Series Information


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Introduction to Machine Learning

Friday November 12, 2021
2:00 pm

 Presenter:  Dr. Susan Atlas (UNM)
 Series:  Computational Physics Seminar
 Abstract:  Over the past decade, machine learning ("artificial intelligence") has been transformed from the obscure province of computer science researchers to a ubiquitous and powerful tool in the physical, chemical, and biological sciences.  In this talk, I will provide a brief perspective on why and how this change has occurred, introduce the basic concepts of machine learning, and discuss recent sea changes in the field engendered by the rise of neural-network-based deep learning techniques.  I will also comment on research aimed at replacing numerical black boxes with interpretable models, driven in part by the ongoing tension between physics- and machine-learned approaches.   Examples of applications will be drawn from genomics, structural biology, molecular biophysics, chemical physics, and materials physics.  For those who would like to begin exploring machine learning for their own research, I will provide pointers to toolkits and libraries for getting started.

Please contact the host for the password if you would like to attend the seminar through Zoom.
 Web Site:    https:/ / unm.zoom.us/ j/ 97766920797
 Host:  Huaiyu (Mike) Duan
 Location:  PAIS-1160, PAIS

Disability Notice If you need an auxiliary aid or service to attend any Department of Physics and Astronomy event, please contact the department (phone: 505 277-2616; email: physics@unm.edu) as far in advance as possible to ensure you are accommodated.