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Source code here: https://github.com/michaelhush/M-LOOP https://github.com/michaelhush/M-LOOP This is a neat application of ML! In the same way that automated
by cmrx64 10y ago
Source code here: https://github.com/michaelhush/M-LOOP https://github.com/michaelhush/M-LOOP
This is a neat application of ML! In the same way that automated theorem provers have had huge impact on doing mechanized proofs, perhaps "automated lab assistant" could have a similar impact on the experimental sciences.
- dwiel 10y agoIt looks like they've hooked up standard function optimization techniques to their lab equipment. Nothing new from an ML perspective. Is there something clever in the way they parameterized the space of possible experiments?
- cmrx64 10y agoNo, this is standard issue ML. It's the application that is neat, not the technique.