Channel Avatar

Harvard Institute for Applied Computational Science @UCXiLz7XTVCJ02CuFmwtcvQw@youtube.com

7.1K subscribers - no pronouns :c

This channel features highlights of events and programming h


01:03:11
Anima Anandkumar: Enabling Zero-Shot Generalization in AI4Science | IACS Distinguished Lecturer
01:03:04
Peter Dayan: Peril, Prudence and Planning as Risk, Avoidance and Worry | IACS Distinguished Lecturer
54:50
Lois Curfman McInnes: Scientific software ecosystems and communities | IACS Distinguished Lecturer
01:11:55
Petros Koumoutsakos: Artificial and natural optimization | IACS Distinguished Lecturer
01:12:08
David Keyes: Linear Algebra Algorithms for Large-scale Applications | IACS Distinguished Lecturer
01:10:47
Karen Willcox: Learning physics-based models from data | IACS Distinguished Lecturer
59:38
Susan Murphy: We used RL; but did it work? | IACS Distinguished Lecturer
01:00:19
Yoshua Bengio: Generative Flow Networks | IACS Distinguished Lecturer
54:01
WiDS 2022 Women of Color in Data Science
18:32
WiDS 2022 Lightning Talks
45:59
WiDS 2022 Keynote
01:19
WiDS 2022 Datathon
01:00:14
WiDS 2022 Data science and climate Change
02:13
WiDS 2022 Conference Overview
01:15:09
Emmanuel Candès: Recent Progress in Predictive Inference | IACS Distinguished Lecturer
01:05:56
Kathy Yelick: Machine Learning in Science | IACS Distinguished Lecturer
56:08
Karim Pichara: NotCo - Creating an AI that Fixes the Broken Food Industry | IACS Seminar
01:14:57
Thore Graepel: Automatic Curricula in Deep Multi-Agent Reinforcement Learning | IACS Seminar
01:00:33
Laure Zanna: The future of climate modeling in the age of artificial intelligence | IACS Seminar
53:09
Trevor David Rhone: Quantum Materials Design Using Artificial Intelligence | IACS Seminar
59:43
Emma Pierson: Data science for social equality | IACS Seminar
01:08:35
Siddhartha Mishra: Deep Learning and Computations of high-dimensional PDEs | IACS Seminar
01:09:26
Caroline Uhler: Autoencoders & causality in the Light of Drug Repurposing for COVID19 | IACS Seminar
01:01:39
Chris Tanner: Hard NLP Tasks: Determining who is who and what is what | IACS Seminar
34:49
WiDS 2021 Keynote Peko Hosoi
19:58
WiDS 2021 | Poster Sessions
50:12
WiDS 2021 | Bias and Equity within Data Science
34:49
WiDS 2021 Keynote Peko Hosoi, MIT
01:58
WiDS 2021 | Datathon
46:14
WiDS 2021 | Machine Learning for Health Care
01:58
Women in Data Science | 2021 Virtual Conference
01:03:04
Jessica Stauth: It’s Not Just Good Leadership Advice, It’s Good Data Science Practice | IACS Seminar
01:10:10
Cengiz Pehlevan: A Function Approximation of Perspective on Sensory Representations | IACS Seminar
57:09
Aaron Hertzmann: Can Computers Create Art? | IACS Seminar
01:09:57
Josh Bloom: Physics-Informed Machine Learning in Astronomy | IACS Seminar
01:11:59
Weiwei Pan: What Are Useful Uncertainties in Deep Learning and How Do We Get Them? | IACS Seminar
01:26:26
Yasaman Bahri: Theoretical Building Blocks From The Study of Wide Networks | IACS Seminar
03:17
AM 207: Advanced Scientific Computing
59:25
"Data Weaponized, Data Scrutinized: A War on Information"
41:46
"Glue-ing Together the Universe"
27:05
"Computational Biology in Translational Cancer Research"
40:48
"Putting Science back in Data Science: Applying Basic Research Principles to DS Business Problems"
55:31
Nicholas Malayar: Scientific Applications for Exascale Computing | IACS Seminar
01:02:23
Ellie Pavlick: What Do Models of Natural Language "Understanding" Actually Understand | IACS Seminar
54:57
Lalitha Venkataramanan: "Uncertainty Quantification in Machine Learning" | IACS Seminar
02:55
AC 297r: Computational Science and Engineering Capstone Project Showcase
59:55
Keynote Fernando Pérez | Jupyter Meets Earth: An Open, Collaborative Approach for Earth Data Science
50:30
Keynote Address: Xiao-li Meng, "Data Science: What is it not?"
01:03:12
Alex Liu: Data Science Ecosystems with AI to Improve Social Research | IACS Seminar
56:14
Robert D. Moser: Wall-Bounded Turbulence in Direct Numerical Simulations | IACS Seminar
52:22
Francisco Förster Burón: Challenges and Progress of the ALeRCE Broker | IACS Seminar
58:27
Mancoridis: Detection of Malware on Virtual Assistants Based on Behavioral Anomalies | IACS Seminar
51:57
Nathan Sanders: Applying Data Science to Entertainment | IACS Seminar
01:05:59
Georg Gerber: Bayesian Machine Learning Models for Understanding Microbiome Dynamics | IACS Seminar
01:01:42
Milind Tambe: Learning & Planning in the Data-to-Deployment Pipeline | IACS Seminar
01:58
2019 Women in Data Science Conference (Cambridge MA)
01:00:20
Isaac Lagaris: Neural Modeling and Differential Equations | IACS Seminar
01:53
WiDS Datathon 2019
01:45
Highlights from ComputeFest 2019, hosted by IACS
01:02:19
Matthew Graham: Forecasting Aperiodic Behavior in Astronomical Sky Surveys | IACS Seminar