Researchers at Caltech and MIT have developed a theorem, dubbed IT-Ï€, that identifies the most informative variables for predicting outcomes in AI and physics models while removing measurement units.
A new AI program observed physical phenomena and uncovered relevant variables -- a necessary precursor to any physics theory. But the variables it discovered were unexpected. A precursor step to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results