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DTSTAMP:20260219T085817
DTSTART;TZID=America/Detroit:20260421T130000
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SUMMARY:Exhibition:Exposition Innovation Showcase
DESCRIPTION:UMSI is also hosting an Innovation Showcase in conjunction with Exposition. This is an opportunity for UMSI students to demonstrate a new product\, service\, or innovative idea to an audience which will include UMSI Advisory Board members. Attendees will browse the room\, and participating students will display their innovations or prototypes and provide hands-on demonstrations\, gaining valuable feedback in the process. This event will be especially suited to students interested in furthering their entrepreneurial ideas and innovations.
UID:145169-21896756@events.umich.edu
URL:https://events.umich.edu/event/145169
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:In Person
LOCATION:Leinweber LCSIB - Room LCSIB 1125
CONTACT:
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DTSTAMP:20260119T140940
DTSTART;TZID=America/Detroit:20260422T090000
DTEND;TZID=America/Detroit:20260422T151000
SUMMARY:Conference / Symposium:NLP @ Michigan Day 2026
DESCRIPTION:As natural language processing (NLP) continues to advance rapidly\, it is reshaping how machines understand\, generate\, and interact with human beings. Recent progress in large language models\, multimodal systems\, and interactive agents has expanded the impact of NLP across domains such as education\, healthcare\, robotics\, social sciences\, and scientific discovery.\n\nNLP Day @ Michigan 2026 is dedicated to exploring these advances and their broader implications. The event will feature invited talks\, poster presentations\, and roundtable discussions\, bringing together researchers and practitioners to share recent work\, discuss emerging challenges\, and identify future directions in NLP.\n\nNLP Day @ Michigan 2026 will take place on North Campus\, in the Bob & Betty Beyster Building with a poster session in Tishman Hall of the same building\, with details on the schedule to be announced. REGISTRATION IS REQUIRED.\n\nRegistration includes lunch. Current University of Michigan students\, faculty\, and staff may register for the symposium for free.
UID:144112-21894681@events.umich.edu
URL:https://events.umich.edu/event/144112
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate and Professional Students,Graduate Students,In Person,Industrial And Operations Engineering,Machine Learning,Michigan Ai Lab,Michigan Engineering,Natural Language Processing,North campus,Responsible Ai,Scientific Computing,Staff,Undergraduate,Undergraduate Students,Computer Vision,Ai In Science And Engineering,Artificial Intelligence,Computational Modeling,Computational Science,Computational Social Science,Computer Engineering,Computer Science,computing,Deep Learning,Electrical Engineering and Computer Science,Engineering,Faculty,Generative Ai
LOCATION:BBB
CONTACT:
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