
Anton: A Special-Purpose Machine That Achieves a Hundred-Fold Speedup in Biomolecular Simulations
About this video
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.
Why it appears in the archive
HN points to it as an accessible, interesting talk on molecular dynamics and simulation-based drug discovery.
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From the Hacker News discussion
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]
Read original comment ↗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..
Read original comment ↗There are also some more recent academic talks of his on youtube, mostly focused on his bio-informatics research. E.g. [VIDEO]
Read original comment ↗> 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]
Read original comment ↗