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TL/DR; How can current ML predict anything outside its learning domain? Am I misunderstanding the fundamentals? In which case, I do not see this headline as gro
by goatsneez 4y ago
TL/DR; How can current ML predict anything outside its learning domain? Am I misunderstanding the fundamentals? In which case, I do not see this headline as ground breaking (apart from real benefits of speed, exploration possibilities, ... that is why we make models to begin with).
The advantage of ML (as far as I can use it) is its speed, and ease of applicability once trained. The training dataset is well prepared, and the pattern recognition (abstraction of the) problem from the data is well-posed(?)
- raxxorraxor 4y agoIt is within a pretty well define problem space. The task is well suited for computers. Even without AI eliminating unlikely combinations you could just throw computing power at it. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443096/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443096/ As I understand it Deep Mind has now calculated the structure of the proteins we know of.