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The IACS seminar series is a forum for thought leaders from academia, industry, and government to share their research on innovative computational and data science topics and methodologies.

Due to Covid-19 restrictions, the 2020-21 IACS seminar series will be held virtually. Visit our website at www.iacs.seas.harvard.edu to learn more.

Harvard Institute for Applied Computational Science

1:11:59

Weiwei Pan: What Are Useful Uncertainties in Deep Learning and How Do We Get Them? | IACS Seminar

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Harvard Institute for Applied Computational Science

1:26:26

Yasaman Bahri: Theoretical Building Blocks From The Study of Wide Networks | IACS Seminar

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Harvard Institute for Applied Computational Science

1:09:57

Josh Bloom: Physics-Informed Machine Learning in Astronomy | IACS Seminar

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Harvard Institute for Applied Computational Science

57:09

Aaron Hertzmann: Can Computers Create Art? | IACS Seminar

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Harvard Institute for Applied Computational Science

1:10:10

Cengiz Pehlevan: A Function Approximation of Perspective on Sensory Representations | IACS Seminar

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Harvard Institute for Applied Computational Science

1:03:04

Jessica Stauth: It’s Not Just Good Leadership Advice, It’s Good Data Science Practice | IACS Seminar

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Harvard Institute for Applied Computational Science

1:01:39

Chris Tanner: Hard NLP Tasks: Determining who is who and what is what | IACS Seminar

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Harvard Institute for Applied Computational Science

1:09:26

Caroline Uhler: Autoencoders & causality in the Light of Drug Repurposing for COVID19 | IACS Seminar

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Harvard Institute for Applied Computational Science

1:08:35

Siddhartha Mishra: Deep Learning and Computations of high-dimensional PDEs | IACS Seminar

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Harvard Institute for Applied Computational Science

59:43

Emma Pierson: Data science for social equality | IACS Seminar

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Harvard Institute for Applied Computational Science

53:09

Trevor David Rhone: Quantum Materials Design Using Artificial Intelligence | IACS Seminar

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Harvard Institute for Applied Computational Science

1:00:33

Laure Zanna: The future of climate modeling in the age of artificial intelligence | IACS Seminar

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Harvard Institute for Applied Computational Science

1:14:57

Thore Graepel: Automatic Curricula in Deep Multi-Agent Reinforcement Learning | IACS Seminar

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Harvard Institute for Applied Computational Science

56:08

Karim Pichara: NotCo - Creating an AI that Fixes the Broken Food Industry | IACS Seminar

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