Anton: A Special-Purpose Machine That Achieves a Hundred-Fold Speedup in Biomolecular Simulations
NC State1 HN recommenders · 2014–2025
12K views · lecture · dated · Uploaded 2012-04-19
David Shaw of D. E. Shaw Research presents Anton, a special-purpose machine that speeds up biomolecular simulations about a hundred-fold. The lecture covers molecular dynamics and how simulation helps understand how drugs bind.
HN points to it as an accessible, interesting talk on molecular dynamics and simulation-based drug discovery.
1:03:43How to Speak
MIT OpenCourseWare
57:151. Introduction to Human Behavioral Biology
Stanford
1:21:52LEADERSHIP LAB: The Craft of Writing Effectively
UChicago Social Sciences
6:538-bit computer update
Ben Eater
1:11:40MIT's Pathway to Fusion Energy (IAP 2017) - Zach Hartwig
MIT Plasma Science and Fusion Center
52:29Stanford's Sapolsky On Depression in U.S. (Full Lecture)
Stanford
54:56Justice: What's The Right Thing To Do? Episode 01 "THE MORAL SIDE OF MURDER"
Harvard University
1:21:22Light Years Ahead | The 1969 Apollo Guidance Computer
TNMoC
4 comments from Hacker News
I'm not giving you what you want, but here's a visual example of using a computational microscope to understand how drug actually works and finds its binding site: [VIDEO] If you can't see a difference between that and say, X-Ray crystallography then well..
There are also some more recent academic talks of his on youtube, mostly focused on his bio-informatics research. E.g. [VIDEO]
> What do you mean by fundamental AI research? Coming up with new/original models that solve the same exact problems that people are trying to solve with neural networks (computer vision, language translation, image generation etc) hopefully that are better performing & cheaper computationally. > What kind of computational model? I think answering that question would be what the researcher in this field is trying todo. I think a place to start would be exploring abandoned AI strategies like Genetics Algorithms & Markov Logic >What are some practical applications of complex systems? - Modeling Financial Markets [1] - Drug discovery via Molecular Dynamics Simulations [2] - Urban Planning [3] - Modeling Epidemics [4] - Cosmology - Computer Graphics - Much more .... [1]: [LINK] [2]: [VIDEO] [3]: [LINK] [4]: [LINK] If interested, subscribe to these podcasts. 1: Simplifying Complexity: [LINK] 2: Complexity: [LINK]
There is brilliant video by the hedge fund manager DE Shaw about molecular dynamics simulation. Its very accessible and I found it very interesting — [VIDEO]