Boeing Colloquium: Julia: Differentiable Programming and Software 2.0
Boeing Distinguished Colloquium, November 21, 2019
Alan Edelman
Massachusetts Institute of Technology
Title: Julia: Differentiable Programming and Software 2.0
Abstract: Slowly, many people are starting to understand the rich possibilities offered by the Julia Programming language. We believe the best is yet to come. In this talk, we will discuss what can be possible for performance, for composability, and for innovation when a computer language design has thought carefully about the interplay between mathematics and the underlying computer.
Видео Boeing Colloquium: Julia: Differentiable Programming and Software 2.0 канала UW Applied Mathematics
Alan Edelman
Massachusetts Institute of Technology
Title: Julia: Differentiable Programming and Software 2.0
Abstract: Slowly, many people are starting to understand the rich possibilities offered by the Julia Programming language. We believe the best is yet to come. In this talk, we will discuss what can be possible for performance, for composability, and for innovation when a computer language design has thought carefully about the interplay between mathematics and the underlying computer.
Видео Boeing Colloquium: Julia: Differentiable Programming and Software 2.0 канала UW Applied Mathematics
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Beyond Deep Learning - Differentiable Programming with Flux - Avik Sengupta | ODSC Europe 2019](https://i.ytimg.com/vi/FZ1wlzFp0r8/default.jpg)
![SC19 Awards Presentation: IEEE-CS Sidney Fernbach Award - Alan Edelman, MIT](https://i.ytimg.com/vi/nwdGsz4rc3Q/default.jpg)
![The principles behind Differentiable Programming - Erik Meijer](https://i.ytimg.com/vi/lk0PhtSHE38/default.jpg)
![Boeing Colloquium: Nonlocal modeling, analysis and computation: some recent development](https://i.ytimg.com/vi/baQ74JKWdHU/default.jpg)
![Kelsey Marcinko's PhD defense: Mathematical analysis of host–parasitoid dynamics](https://i.ytimg.com/vi/OeTKFCUJolo/default.jpg)
![Keynote session: The History of Programming - Mark Rendle [DevCon 2016]](https://i.ytimg.com/vi/Tr9E_vzKRVo/default.jpg)
!["Uncle" Bob Martin - "The Future of Programming"](https://i.ytimg.com/vi/ecIWPzGEbFc/default.jpg)
![A programming language to heal the planet together: Julia | Alan Edelman | TEDxMIT](https://i.ytimg.com/vi/qGW0GT1rCvs/default.jpg)
![JuliaCon 2016 | Parallel Computing (Workshop) | Julia Lab at MIT](https://i.ytimg.com/vi/euZkvgx0fG8/default.jpg)
![Stefan Karpinski (Keynote): Julia for Data Analysis and Beyond](https://i.ytimg.com/vi/DRKKAFYM9yo/default.jpg)
![JuliaCon 2019 | Turing: Probabalistic Programming in Julia | Cameron Pfiffer](https://i.ytimg.com/vi/Jr6HcyHK_Q4/default.jpg)
![Optimization in Julia using JuMP](https://i.ytimg.com/vi/UmMn-N5w-lI/default.jpg)
![Julia is killing it in the programming world. Meet its co-creator from India](https://i.ytimg.com/vi/aMyAHs2c0_w/default.jpg)
![AMATH50 Panel: Future research directions in applied mathematics](https://i.ytimg.com/vi/IhnKruhPSRU/default.jpg)
![Julia: to Lisp or not to Lisp?](https://i.ytimg.com/vi/dK3zRXhrFZY/default.jpg)
![Fast and Flexible Linear Algebra in Julia – CME 510](https://i.ytimg.com/vi/VS0fnUOAKpI/default.jpg)
![JuliaCon 2020 | Applying Differentiable Programming to the Dark Channel Prior | Vandy Tombs](https://i.ytimg.com/vi/ZQSObRGPcIc/default.jpg)
![Computer science is for everyone | Hadi Partovi | TEDxRainier](https://i.ytimg.com/vi/FpMNs7H24X0/default.jpg)
![Generalized Physics-Informed Learning through Language-Wide Differentiable Programming by Rackauckas](https://i.ytimg.com/vi/SEhMWkgcTOI/default.jpg)
![AMATH Seminar: Applied mathematics for a new thermodynamics](https://i.ytimg.com/vi/GZy3l_eYjkk/default.jpg)