Best talks in my opinion: * ▶ this video * [link] Notable mentions: * [link] * [link] * [link] I liked OpenGL lightning talk as well: * [link]
in “European Lisp Symposium 2016” · View on HN
CANDO: A Compiled Programming Language for Computer-Aided Nanomaterial Design and Optimization on HackerTube: recommended by 2 Hacker News commenters across 1 month, 2016–2019.
talk · advanced · dated
Christian Schafmeister presents CANDO at the 2016 European Lisp Symposium. It is a compiled Lisp-based language for designing macromolecules and nanoscale materials, built on the Clasp implementation of Common Lisp.
Recommended as one of the best talks of the symposium for the unusual scope of applying Lisp to molecular design.
“no wonder CANDO is impressive, the scope and fields involved are pretty rare”
5 Hacker News comments link this video. Each one links back to its thread.
Best talks in my opinion: * ▶ this video * [link] Notable mentions: * [link] * [link] * [link] I liked OpenGL lightning talk as well: * [link]
in “European Lisp Symposium 2016” · View on HN
> ▶ this video no wonder CANDO is impressive, the scope and fields involved are pretty rare... I'm very eager to learn if C. Schafmeister work will bear 'disruptive fruits'. ps: a talk about clasp [link]
in “European Lisp Symposium 2016” · View on HN
I wish there were a nanotechnology startup that would address MRSA. In theory, you can develop nanobots that attack specific types of bacteria. Not sure if this would work: ▶ this video
in “My Husband Became a Poster Child of the Post-Antibiotic Era” · View on HN
My initial thought was that this was about a project building atop of clasp, like CANDO: ▶ this video [link] [link] But this does seem a bit more like Julia? "Julia: to Lisp or not to Lisp?" [link] Then there's also the Axiom system, which I guess is primarily for symbolic computation, but I don't know if it might make sense to use it as a building block for statistical software? [link]
in “Back to the Future: Lisp as a Base for a Statistical Computing System [pdf]” · View on HN
▶ this video Here's the video from last year's ELS. At the beginning of it he actually explains some of the reasoning - i.e. proteins are cool and powerful, but a) too hard to design, and b) too fragile.
in “AI and Robotics in Agriculture in Japan [video]” · View on HN