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X-WR-CALDESC:Events for Columbia Entrepreneurship
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DTSTART;TZID=UTC:20260227T103000
DTEND;TZID=UTC:20260227T120000
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SUMMARY:February 27 Lecture Series in AI: Ali Farhadi\, CEO of AI2
DESCRIPTION:Columbia Engineering Lecture Series in AI\nFriday\, February 27: Ali Farhadi\, CEO of Allen Institute for Artificial Intelligence (AI2) & Professor\, University of Washington \n\n10:30-11:00am Check-in\n11:00-12:00pm Lecture\n\nAdvance registration is required for both Columbia affiliates and non-affiliates \nREGISTER HERE \nABOUT THE LECTURE \n“What is the Language Model of a Crow?” \nABOUT THE SPEAKER \nAli Farhadi is the CEO of the Allen Institute for AI (Ai2) and a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Ali has been a professor at the UW Allen School since 2012. He first joined Ai2 in 2015 to lead the institute’s computer vision research team with a focus on visual common-sense reasoning and the role of actions and interactions in visual understanding. While at Ai2\, he co-founded Xnor.ai\, the first on-device deep learning startup that was acquired by Apple in 2020. Ali led Apple’s next-generation machine learning efforts until 2023 when he rejoined Ai2 as CEO in July. Ali’s research impact has been globally recognized with several best paper awards at CVPR\, NeruIPS\, AAAI\, NSF Career Award\, and the Sloan Fellowship\, and he was named one of Forbes’s Top 5 AI Entrepreneurs in 2018.
URL:https://entrepreneurship.columbia.edu/event/february-27-lecture-series-in-ai-ali-farhadi-ceo-of-ai2/
CATEGORIES:Columbia Data Science Institute,Columbia Engineering
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DTSTART;TZID=UTC:20260327T103000
DTEND;TZID=UTC:20260327T120000
DTSTAMP:20260413T213627
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SUMMARY:Columbia Engineering Lecture Series in AI
DESCRIPTION:“Integrating Past and Present in Continual Learning” \nContinual learning aims to bridge the gap between typical human and machine-learning environments. The continual setting does not have separate training and testing phases\, and instead models are evaluated online while learning novel concepts and tasks. The most capable current AI systems struggle to learn new knowledge sequentially without forgetting old ones. Challenging research questions include how to rapidly assess a learner system’s abilities and how to most efficiently train it to improve on a sequence of tasks. I will describe recent progress on these questions\, across various research groups in ARNI\, our NSF AI Institute for Artificial and Natural Intelligence. Finally we will consider open issues and challenges in continual learning. \nABOUT THE SPEAKER \nRichard Zemel is the Trianthe Dakolias Professor of Engineering and Applied Science in the Computer Science Department at Columbia University. He is the Director of the NSF AI Institute for Artificial and Natural Intelligence (ARNI)\, and was the co-founder and inaugural Research Director of the Vector Institute for Artificial Intelligence. His awards include an AI Lifetime Achievement Award (CAIA) and a Pioneer of AI Award (NVIDIA). His research contributions include foundational work on systems that learn useful representations of data with little or no supervision; graph-based machine learning; and algorithms for fair and robust machine learning. \nRegister here
URL:https://entrepreneurship.columbia.edu/event/columbia-engineering-lecture-series-in-ai/
CATEGORIES:Columbia Engineering
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260410
DTEND;VALUE=DATE:20260411
DTSTAMP:20260413T213627
CREATED:20260303T164628Z
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SUMMARY:Application Deadline: Spring 2026 Start Me Up Bootcamp with Columbia Engineering
DESCRIPTION:Join a select group of entrepreneurs for a two-week hybrid program designed to build your startup. The bootcamp introduces participants to the Lean Launchpad methodology and techniques to direct customer discovery through field interviews. Participants are required to conduct at least 20 customer interviews\, attend online sessions and engage with other bootcamp teams and entrepreneurs. \nTeams “get out of the building” to learn from potential customers to determine if they are solving a real-world problem with a sizeable market opportunity. In addition to providing entrepreneurial training\, this program helps students and researchers identify new ways to apply research to solve global challenges. Teams that complete this bootcamp may be eligible to receive conference travel or stipend funding\, including eligibility to apply for the National Science Foundation’s I-Corps program. Click here to explore eligibility and expectations. \nSpring 2026 Dates \nApril 24\, 9:00 AM – 1:00 PM\nMay 1\, 9:00 AM – 1:00 PM\nMay 8\, 9:00 AM – 1:00 PM \nRolling admissions\, apply by April 10th
URL:https://entrepreneurship.columbia.edu/event/application-deadline-spring-2026-start-me-up-bootcamp-with-columbia-engineering/
CATEGORIES:Columbia Engineering
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260414T173000
DTEND;TZID=UTC:20260414T193000
DTSTAMP:20260413T213627
CREATED:20260409T143505Z
LAST-MODIFIED:20260409T143505Z
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SUMMARY:IDE x CORE Entrepreneurship in Hard Tech: A Conversation with Alumni Founders
DESCRIPTION:Join Columbia Engineering and CORE for a candid look at building a hard-tech startup before the pitch decks and headlines. Hear from young Columbia founders about ideation\, finding mentors and co-founders\, testing early ideas\, and navigating the early stages of a tech venture as Columbia students. The talk will feature Vignesh Karthik and Valentina Marini Fichera\, and will be moderated by Katherine Brown\, SEAS ’28. \nThis event will include Q&A\, networking and mentorship opportunities\, and dinner will be provided. \nWhen: April 14\, 2026\, 5:30 – 7:30pm\nWhere: Columbia Engineering\, Mudd Building\, Carleton Commons \n  \nRSVP
URL:https://entrepreneurship.columbia.edu/event/ide-x-core-entrepreneurship-in-hard-tech-a-conversation-with-alumni-founders/
CATEGORIES:Columbia Engineering,Columbia Organization for Rising Entrepreneurs (CORE)
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