Petros Koumoutsakos: Artificial and natural optimization | IACS Distinguished Lecturer
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 bindings and in microbots such as artificial bacterial flagella. However nature’s designs are soft and fuzzy, and are ephemeral, whereas engineers often opt for structures that outlast them. Koumoutsakos will argue for the path that bridges nature’s ways with those of engineers. This path calls for adapting natural algorithms of evolutions and learning in design principles for engineering constructs. Koumoutsakos will show how advances in computing have provided a boost in these efforts in the last decade and outline learning and optimization algorithms that aim to harness these capabilities for scientific applications.
Видео Petros Koumoutsakos: Artificial and natural optimization | IACS Distinguished Lecturer канала Harvard Institute for Applied Computational Science
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 bindings and in microbots such as artificial bacterial flagella. However nature’s designs are soft and fuzzy, and are ephemeral, whereas engineers often opt for structures that outlast them. Koumoutsakos will argue for the path that bridges nature’s ways with those of engineers. This path calls for adapting natural algorithms of evolutions and learning in design principles for engineering constructs. Koumoutsakos will show how advances in computing have provided a boost in these efforts in the last decade and outline learning and optimization algorithms that aim to harness these capabilities for scientific applications.
Видео Petros Koumoutsakos: Artificial and natural optimization | IACS Distinguished Lecturer канала Harvard Institute for Applied Computational Science
Показать
Комментарии отсутствуют
Информация о видео
12 июля 2022 г. 19:43:06
01:11:55
Другие видео канала
![CS 109b: Data Science II: Advanced Topics in Data Science](https://i.ytimg.com/vi/NaLMvDt8OAg/default.jpg)
![Rayid Ghani: Doing Practical Data Science for Social Impact | IACS Seminar](https://i.ytimg.com/vi/aK3jiNIQ5t0/default.jpg)
![Alan Heavens: Cosmology with Weak Lensing | IACS Seminar](https://i.ytimg.com/vi/h7s1DGXRsqc/default.jpg)
![Cengiz Pehlevan: A Function Approximation of Perspective on Sensory Representations | IACS Seminar](https://i.ytimg.com/vi/qsYx-6rZmoU/default.jpg)
!["Machine Learning for Partial Differential Equations" by Michael Brenner](https://i.ytimg.com/vi/9Rycnz2O-aY/default.jpg)
![Isaac Lagaris: Neural Modeling and Differential Equations | IACS Seminar](https://i.ytimg.com/vi/aKFimFiWULE/default.jpg)
!["Computational Biology in Translational Cancer Research"](https://i.ytimg.com/vi/XGYruD6wsPc/default.jpg)
![Susan Murphy: We used RL; but did it work? | IACS Distinguished Lecturer](https://i.ytimg.com/vi/F2t8D3BjkO4/default.jpg)
!["Learning Quantum Emergence with AI" by Eun-Ah Kim](https://i.ytimg.com/vi/gBTNlQD6qKE/default.jpg)
![Alan Aspuru-Guzik: Billions and Billions of Molecules: Exploring Chemical Space | IACS Seminar](https://i.ytimg.com/vi/vN1ZWOgs06E/default.jpg)
![Grushka-Cockayne: Forecasting Airport Transfer Passenger Flow Using Real-Time Data & Machine Seminar](https://i.ytimg.com/vi/rCD-0MktwNA/default.jpg)
![Thore Graepel: Automatic Curricula in Deep Multi-Agent Reinforcement Learning | IACS Seminar](https://i.ytimg.com/vi/GB5XWY_IvvE/default.jpg)
![Verena Kaynig: Connectomics - Mapping the Brain | IACS Seminar](https://i.ytimg.com/vi/4a0urY43GFU/default.jpg)
![CSE Symposium: XY: Basketball Meets Big Data 1/24/2014](https://i.ytimg.com/vi/JvNkZdZJBt4/default.jpg)
![Thomson Nguyen: Machine Learning for Small Business Lending | IACS Seminar](https://i.ytimg.com/vi/pG3Y7mXkXs8/default.jpg)
![Scott Kuindersma: Controlling Multi-Contact Robot Behaviors with Optimization | IACS Seminar](https://i.ytimg.com/vi/4GWeik_5tXo/default.jpg)
![1/19 Hanna Halaburda- "Hopes and worries of blockchain commercial use”](https://i.ytimg.com/vi/vDKVD1QhnpQ/default.jpg)
![Emmanuel Candès: Recent Progress in Predictive Inference | IACS Distinguished Lecturer](https://i.ytimg.com/vi/14jzthqF45I/default.jpg)
![Keynote Fernando Pérez | Jupyter Meets Earth: An Open, Collaborative Approach for Earth Data Science](https://i.ytimg.com/vi/GUyt_VXU8Aw/default.jpg)
![Jessica Stauth: It’s Not Just Good Leadership Advice, It’s Good Data Science Practice | IACS Seminar](https://i.ytimg.com/vi/psyJSES96Ks/default.jpg)
![WiDS 2022 Women of Color in Data Science](https://i.ytimg.com/vi/3Ve9yHj-Beo/default.jpg)