Mathematics and Machine Learning Program Dates: September 3 - November 1, 2024 Location: Harvard CMSA, 20 Garden Street, Cambridge, MA 0213 Machine learning and AI are increasingly important tools in all fields of research. Recent milestones in machine learning for mathematics include data-driven discovery of theorems in knot theory and representation theory, the discovery and […]
Mathematics and Machine Learning Program Opening Workshop Dates: September 3 - 5, 2024 Location: Room G10, CMSA, 20 Garden Street, Cambridge MA & via Zoom Webinar AI for Mathematicians, with Leon Bottou, François Charton, David McAllester, Adam Wagner, Boris Hanin, and Geordie Williamson. A series of 6 tutorial lectures introducing concepts of AI and of […]
September 5, 2024 4:00 pm CMSA Common Room, 20 Garden Street, Cambridge MA All CMSA and Math affiliates are invited.
https://www.youtube.com/playlist?list=PL0NRmB0fnLJQS9vXNmNhMlza8r159l72s Youtube Playlist On September 6-7, 2024, the CMSA hosted the tenth annual Conference on Big Data. The Big Data Conference features speakers from the Harvard community as well as scholars from across the globe, with talks focusing on computer science, statistics, math and physics, and economics. Location: Harvard University CMSA, 20 Garden Street, […]
https://youtu.be/5Lo7bo7P_I0 Math and Machine Learning Lecture Date: Thursday, Sep. 12, 2024 Time: 4:00 - 5:00 pm Location: Science Center & via Zoom Webinar Speaker: Geordie Williamson, University of Sydney Title: Can AI help with hard mathematics? Abstract: The last years have seen remarkable advances in what AI can do. It is perhaps surprising that […]
https://youtu.be/1QwTqfiqxTw CMSA/Tsinghua Math-Science Literature Lecture Date: Wednesday, September 18, 2024 Time: 9:00 - 10:30 am ET Location: Via Zoom Webinar Speaker: Marc Lackenby, University of Oxford Title: The complexity of knots Abstract: In his final paper in 1954, Alan Turing wrote `No systematic method is yet known by which one can tell whether two knots are […]
https://youtu.be/Pht8aXE5IsU Machine Learning in Science Education Panel Discussion Monday, Sep. 30, 2024 3:30-5:30 pm ET Machine Learning is rapidly influencing many spheres of human activity. As part of the CMSA Mathematics and Machine Learning Program, this panel discussion will explore current and future uses of Machine Learning in science education. Panelists will make brief presentations, […]
Speaker: Andrew Neitzke, Yale University Location: Harvard University Science Center Hall D & via Zoom webinar Dates: October 16 & 17, 2024 Time: 4:00 pm https://youtu.be/1SyGyeMmWoM Wednesday, Oct. 16, 2024 Title: Abelianization in analysis of ODEs Abstract: I will describe the exact WKB method for asymptotic analysis of families of ODEs in one […]
Speaker: Andrew Neitzke, Yale University Location: Harvard University Science Center Hall D & via Zoom webinar Dates: October 16 & 17, 2024 Time: 4:00 pm https://youtu.be/1SyGyeMmWoM Wednesday, Oct. 16, 2024 Title: Abelianization in analysis of ODEs Abstract: I will describe the exact WKB method for asymptotic analysis of families of ODEs in one variable, […]
Mathematics and Machine Learning Closing Workshop Dates: October 28 - Oct. 30, 2024 Location: Room G10, CMSA, 20 Garden Street, Cambridge MA The closing workshop will provide a forum for discussing the most current research in these areas, including work in progress and recent results from program participants. We will devote one day to frontier […]
https://youtu.be/HcKVfUcffUo CMSA/Tsinghua Math-Science Literature Lecture Date: November 21, 2024 Time: 9:00 - 10:30 am ET Location: CMSA G10, 20 Garden Street, Cambridge MA & via Zoom Speaker: Bjorn Poonen, MIT Title: Ranks of elliptic curves Abstract: Elliptic curves are simplest varieties whose rational points are not fully understood, and they are the simplest projective varieties […]
Workshop on Symmetries and Gravity Dates: January 21-24, 2025 Location: Harvard CMSA, 20 Garden Street, Cambridge, MA 02138 Organizers: Ibrahima Bah (Johns Hopkins University), Patrick Jefferson (Johns Hopkins University), Yiming Chen (Stanford University) Description: There is a widespread belief, that has its origins in work from the 70s, that a theory of quantum gravity cannot […]