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DTSTAMP:20250102T120705
DTSTART;TZID=America/Detroit:20250604T133000
DTEND;TZID=America/Detroit:20250604T150000
SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday
DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324)
UID:117252-21865886@events.umich.edu
URL:https://events.umich.edu/event/117252
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Analysis,Machine Learning,Information and Technology,Data Science,Data Management,Data Linkage,Data Curation,Data Collection,Data
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250603T165515
DTSTART;TZID=America/Detroit:20250604T153000
DTEND;TZID=America/Detroit:20250604T170000
SUMMARY:Presentation:Non-Equilibrium Statistical Mechanics of/for AI
DESCRIPTION:This talk presents a unifying applied mathematics/theoretical physics framework that bridges core components of modern generative AI -- diffusion models\, reinforcement learning\, and transformers -- through the lens of contemporary applied mathematics. Central to this framework are the concepts of Decision Flows and Path Integral Diffusions\, which offer structured approaches to sequential sampling over discrete\, continuous\, and hybrid spaces. These approaches are rooted in Green-function-based control\, Schrödinger bridges\, and non-equilibrium statistical physics.\n\nBuilding on recent work\, we explore analytically tractable and algorithmically efficient regimes -- often requiring minimal use of neural networks -- where sampling from complex distributions becomes both explainable and extrapolative. We highlight connections between score-based diffusion\, linearly-solvable Markov Decision Processes\, and energy-based models\, including emerging insights into phase transitions in generative AI (e.g.\, memorization and speciation dynamics).\n\nApplications span inference/sampling in Ising models\, CIFAR-10 image generation\, physics-informed reinforcement learning in turbulent flows\, and auto-regressive modeling of statistical hydrodynamics. We also touch on decision-making under uncertainty in energy systems.
UID:135987-21877619@events.umich.edu
URL:https://events.umich.edu/event/135987
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai In Science And Engineering,Generative Ai,Mathematics,Micde,Physics,Sparc
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250303T063247
DTSTART;TZID=America/Detroit:20250604T160000
DTEND;TZID=America/Detroit:20250604T170000
SUMMARY:Careers / Jobs:Affinity Office Hours - Ace the Case!
DESCRIPTION:Learn from our consultants about the skills and techniques needed for our case interviews. They’ll share their personal tips on howyou can begin preparing now for a case interview with McKinsey. This event is sponsored by the McKinsey Black Network\, Hispanic Latino Network\, Prism (social mobility) and our Equal (LGBTQ+) networks. This is just one of our many initiatives aimed at helping undergraduate students get to know McKinsey better.
UID:133240-21872632@events.umich.edu
URL:https://events.umich.edu/event/133240
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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DTSTAMP:20250604T180023
DTSTART;TZID=America/Detroit:20250604T190000
DTEND;TZID=America/Detroit:20250604T210000
SUMMARY:Exercise / Fitness:Bujinkan Budo Training Session
DESCRIPTION:During the Spring/Summer 2025 semester\, Bujinkan Budo Club training will be held on Wednesdays from 19:00 - 21:00 (7-9pm) at the Intramural Sports Building (IMSB) in Room MPR B. If you are interested in trying out a class\, please send a message through Maize Pages or an email to michiganbujinkan@gmail.com. \n--\nFor more information\, email us at michiganbujinkan@gmail.com or checkout our website\, which also includes a training schedule!
UID:135719-21877174@events.umich.edu
URL:https://events.umich.edu/event/135719
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:Intramural Sports Building
CONTACT:
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