people on the board, not you > my graduate work was using constraint optimizers in molecular dynamics me too for qm/mm sims -- did some rg/complex systems work too ;)
people are missing the point the author is talking about constraint optimization in physics vs ml/ai constraint optimization is easier with a well defined prior vs the guess work in ml algos. dl models in physics can…
ai is top-down and physics is bottom-up. physics is also mostly deterministic (attach probability distributions for stochastic/quantum stuff) and there are well defined rules (energy, symmetry, noether, etc). at the end…
people on the board, not you > my graduate work was using constraint optimizers in molecular dynamics me too for qm/mm sims -- did some rg/complex systems work too ;)
people are missing the point the author is talking about constraint optimization in physics vs ml/ai constraint optimization is easier with a well defined prior vs the guess work in ml algos. dl models in physics can…
ai is top-down and physics is bottom-up. physics is also mostly deterministic (attach probability distributions for stochastic/quantum stuff) and there are well defined rules (energy, symmetry, noether, etc). at the end…