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Harvard Institute for Applied Computational Science
Добавлен 7 янв 2015
This channel features highlights of events and programming hosted by the Institute for Applied Computational Science (IACS), Harvard University's interdisciplinary graduate program and community for computational science and engineering.
Website: iacs.seas.harvard.edu
Facebook: HarvardIACS
Twitter: @Harvard_IACS
Website: iacs.seas.harvard.edu
Facebook: HarvardIACS
Twitter: @Harvard_IACS
Anima Anandkumar: Enabling Zero-Shot Generalization in AI4Science | IACS Distinguished Lecturer
Anima Anandkumar
Bren professor at Caltech Computing + Mathematical Sciences Department
Director of machine learning research at NVIDIA
ABSTRACT: Many scientific applications heavily rely on the use of brute-force numerical methods performed on high-performance computing (HPC) infrastructure. Can artificial intelligence (AI) methods augment or even entirely replace these brute-force calculations to obtain significant speed-ups? Can we make groundbreaking new discoveries because of such speed-ups? However, such AI4science often requires zero-shot generalization to entirely new scenarios not seen during training. I will present exciting recent advances that build new foundations in AI that are...
Bren professor at Caltech Computing + Mathematical Sciences Department
Director of machine learning research at NVIDIA
ABSTRACT: Many scientific applications heavily rely on the use of brute-force numerical methods performed on high-performance computing (HPC) infrastructure. Can artificial intelligence (AI) methods augment or even entirely replace these brute-force calculations to obtain significant speed-ups? Can we make groundbreaking new discoveries because of such speed-ups? However, such AI4science often requires zero-shot generalization to entirely new scenarios not seen during training. I will present exciting recent advances that build new foundations in AI that are...
Просмотров: 1 124
Видео
Peter Dayan: Peril, Prudence and Planning as Risk, Avoidance and Worry | IACS Distinguished Lecturer
Просмотров 8852 года назад
Peter Dayan Director Max Planck Institute for Biological Cybernetics ABSTRACT: Risk occupies a central role in both the theory and practice of decision-making. Although it is deeply implicated in many conditions involving dysfunctional behavior and thought, modern theoretical approaches from economics and computer science to understanding and mitigating risk, in either one-shot or sequential se...
Lois Curfman McInnes: Scientific software ecosystems and communities | IACS Distinguished Lecturer
Просмотров 1412 года назад
Lois Curfman McInnes Computational Science Leader and Argonne Distinguished Fellow Argonne National Laboratory Full talk title: Scientific software ecosystems and communities: Why we need them and how each of us can help them thrive ABSTRACT: Software is a cornerstone of long-term collaboration and scientific progress, but software complexity is increasing due to disruptive changes in computer ...
Petros Koumoutsakos: Artificial and natural optimization | IACS Distinguished Lecturer
Просмотров 4762 года назад
Petros Koumoutsakos Herbert S. Winokur, Jr. Professor of Engineering and Applied Sciences Area Chair for Applied Mathematics Full talk title: Angels and insects: On artificial and natural optimization ABSTRACT: What are the working methods of nature and how do they differ from those of engineers? Technical solutions that are reminiscent of nature can be found in airplane wings, in velcro bindin...
David Keyes: Linear Algebra Algorithms for Large-scale Applications | IACS Distinguished Lecturer
Просмотров 4322 года назад
David Keyes Director, Extreme Computing Research Center King Abdullah University of Science and Technology Full talk title: Data-sparse Linear Algebra Algorithms for Large-scale Applications on Emerging Architectures ABSTRACT: A traditional goal of algorithmic optimality, squeezing out flops, has been superseded by evolution in architecture. Flops no longer serve as a reasonable proxy for all a...
Karen Willcox: Learning physics-based models from data | IACS Distinguished Lecturer
Просмотров 2,9 тыс.2 года назад
Karen Willcox Director, Oden Institute for Computational Engineering and Sciences Full talk title: Learning physics-based models from data: Perspectives from model reduction ABSTRACT: Operator Inference is a method for learning predictive reduced-order models from data. The method targets the derivation of a reduced-order model of an expensive high-fidelity simulator that solves known governing...
Susan Murphy: We used RL; but did it work? | IACS Distinguished Lecturer
Просмотров 3922 года назад
Susan Murphy, Mallinckrodt Professor of Statistics and of Computer Science, Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University ABSTRACT: Reinforcement Learning provides an attractive suite of online learning methods for personalizing interventions in a Digital Health. However after an reinforcement learning algorithm has been run in a clinical study, how do we assess whe...
Yoshua Bengio: Generative Flow Networks | IACS Distinguished Lecturer
Просмотров 6 тыс.2 года назад
Yoshua Bengio Full Professor, Université de Montréal ABSTRACT: Generative Flow Networks (or GFlowNets) have been introduced as a method to sample a diverse set of candidates in an active learning context, with a training objective that makes them approximately sample in proportion to a given reward function. We show a number of additional theoretical properties of GFlowNets. They can be used to...
WiDS 2022 Women of Color in Data Science
Просмотров 882 года назад
WiDS 2022 Women of Color in Data Science
WiDS 2022 Data science and climate Change
Просмотров 3222 года назад
WiDS 2022 Data science and climate Change
Emmanuel Candès: Recent Progress in Predictive Inference | IACS Distinguished Lecturer
Просмотров 2 тыс.2 года назад
Emmanuel Candès: Recent Progress in Predictive Inference | IACS Distinguished Lecturer
Kathy Yelick: Machine Learning in Science | IACS Distinguished Lecturer
Просмотров 7562 года назад
Kathy Yelick: Machine Learning in Science | IACS Distinguished Lecturer
Karim Pichara: NotCo - Creating an AI that Fixes the Broken Food Industry | IACS Seminar
Просмотров 4,9 тыс.2 года назад
Karim Pichara: NotCo - Creating an AI that Fixes the Broken Food Industry | IACS Seminar
Thore Graepel: Automatic Curricula in Deep Multi-Agent Reinforcement Learning | IACS Seminar
Просмотров 1,6 тыс.3 года назад
Thore Graepel: Automatic Curricula in Deep Multi-Agent Reinforcement Learning | IACS Seminar
Laure Zanna: The future of climate modeling in the age of artificial intelligence | IACS Seminar
Просмотров 3983 года назад
Laure Zanna: The future of climate modeling in the age of artificial intelligence | IACS Seminar
Trevor David Rhone: Quantum Materials Design Using Artificial Intelligence | IACS Seminar
Просмотров 3833 года назад
Trevor David Rhone: Quantum Materials Design Using Artificial Intelligence | IACS Seminar
Emma Pierson: Data science for social equality | IACS Seminar
Просмотров 2403 года назад
Emma Pierson: Data science for social equality | IACS Seminar
Siddhartha Mishra: Deep Learning and Computations of high-dimensional PDEs | IACS Seminar
Просмотров 1,2 тыс.3 года назад
Siddhartha Mishra: Deep Learning and Computations of high-dimensional PDEs | IACS Seminar
Caroline Uhler: Autoencoders & causality in the Light of Drug Repurposing for COVID19 | IACS Seminar
Просмотров 4813 года назад
Caroline Uhler: Autoencoders & causality in the Light of Drug Repurposing for COVID19 | IACS Seminar
Chris Tanner: Hard NLP Tasks: Determining who is who and what is what | IACS Seminar
Просмотров 4593 года назад
Chris Tanner: Hard NLP Tasks: Determining who is who and what is what | IACS Seminar
WiDS 2021 | Bias and Equity within Data Science
Просмотров 1353 года назад
WiDS 2021 | Bias and Equity within Data Science
WiDS 2021 | Machine Learning for Health Care
Просмотров 1643 года назад
WiDS 2021 | Machine Learning for Health Care
GOOD ACTING
very informative, I am also trying to do use data science to address climate change in biodiversity conservation.
Ενδιαφερον Ομιλια. Μας πεθανε με την αυτοπεποιθηση στο αγγλικο
yeah im very interested in thi subject but i cant hear...
One of the most insightful talks on uncertainty estimation I've seen. Great job!
Amazing speaker and a really great talk!
One of a kind! This is just what I need: having listened to too many talks about how fancy the methods are, this is the one makes it clear about what do NOT work and why.
Really interesting talk, thanks for recording.
Congrats Professor Flavio!
Have AI clean this up... very rough opening.
You try to invent adults what you have are babies why would you ask babies adult questions
Great video.
Brilliant
Such a phenometal talk. Thank you so much!
Amazing the capabilities of this, eg. imagine a world where the doc talks to a machine about the symptoms or health prevention goals and it creates medicinal capsules right for the patient, according to its medical logs
Kaspa let's gooooo
Wow. You might wanna tuck your bias back in. It’s hanging out… juuust a little bit. 🙄🙄🙄
Very informative talk 💯, I really like the way she keeps questioning herself and push the research further. Many questions she put up and answered actually echo to my concerns, which makes me can smoothly understand this talk!
excellent talk!!! thank you weiwei for this wonderful speech❤
"Boiled chicken feet" 😱
thank you so much for sharing...not only did i learnt alot .. so motivated to work on this .. very nice professor :)
Brilliant talk. Thank you for sharing 💓
Great stuff, giving us insights in how AI really works in plant based food engineering!!!
So much waiting for the video to play in vain..
Typo: "For more information *about* the IACS seminar series, ..."
I am very sorry he has met this challenge personally, but wow what a journey! Thank you so much for sharing💗God bless you and your family.
Crazy how a 300 view video got sponsors lmao
Great ! This gives me an insight of what projects to have while applying to harvard
18:39
great seminar professor
Doctor Calmon is very good
What a stunning story!
hopefully nothing scary jumping out of that "black box" =)))
This is great, I've watched it two times, and am looking forward to any update! The factory farming industry cages and kills 60 billion animals each year, the amount of suffering is extreme, unprecedented and unbearable, really hope that you or anyone can end this as soon as possible!
Wow, I loved his talk! it was really impressive!
So Karim means that Guiseppe is a recipe scouting bot? Taking a look at the patent it looks like that, and the actual products they have confirms that too (mostly copies of existing products) But I'm missing all that about how Notco's AI is looking at molecules of ingredients to come up with new ways of creating plant-based food, where is that?.
Edward Snowden is a fictitious character played by David Hoffman
I'm pretty sure this is going to be one the biggest revolutions about food-tech! I'm very proud of being a Chilean computer engineer and to know that we have startups that are focusing in real world problems. Great mission, great technology and great group of people at NotCo, I hope one day I can work there and meet Giuseppe :D
👏👏👏
A reminder the God loves you and Jesus died for your. sins. 💓. ( not tryna force).
"All roads lead to rome" & There is nothing new under the sun
Thanks for a really complete, well-thought, interestig talk.
Can I get the link for the paper he published please...I can't find it
on the Harvard Extension School's webpage, it seems like AM207 was already closed. Anybody know how can I watch the recorded video of this course? thx.
I'm a layperson though not completely ignorant of the scientific magic we now have since computers can learn. What I got from your presentation is ... this is just the tip of the iceberg. And the biggest challenge is structuring the data. Thank you.
Very valuable talk on DNS. I wish sound was better.
Plus any one tell...where can I get this slides
Ekstra klasa tak właśnie musiało być
the calibration of bnn's uncertainty appeared to be poor because model uncertainty (epistemic) is not all you need. you need to capture the heteroscedestic aleatoric uncertainty too.
I can listen to this all day!! Thanks for posting the video