Student Machine Learning Initiative

The Center for the Fundamental Physics of the Universe (CFPU) is fostering a strong interest in using machine learning through the Student Machine Learning Initiative (SMLI). This student-driven group provides a low pressure environment for graduate students, undergraduates, and postdocs alike to gain experience with machine learning concepts that excite them, with the hope that they may find applications in their own areas of research.

SMLI hosts bi-monthly meetings in which students and guest presenters give accessible presentations. These peer-guided talks present various uses of machine learning in physics that students can see, test out, and hopefully incorporate into their own research. This group is doing just that by forging an opportunity for forward thinking students to learn from each other, expanding upon their imaginative ideas to answer unexplained questions.

September 2021

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  • SMLI Seminar - RBMs - Michael Toomey (Brown)
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  • SMLI Seminar
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  • CFPU Seminar - Stefano Andreon (INAF)
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  • SMLI Seminar
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*Subscribe to CFPU Student Machine Learning Initiative announcement emails and calendar*