all problems where you would have applied machine learning or statistics.
stock picking computer vision speech recognition discerning mathematical models of systems, effectively all of science, using symbolic regression
stock picking computer vision speech recognition discerning mathematical models of systems, effectively all of science, using symbolic regression
At least that's what I've gathered.
The scientific community hasn't really embraced what vast computational power can do.
Some are catching on though - look for symbolic regression or automated scientist on google. (There's a fully automated 'robot' that does biology experiments built by a university prof in england though i'm not sure whether he usss genetic algorithms or genetic programming.)