>> But if you want to make a career picking low-hanging fruit, you'd better be financially independent, because as the paper also points out, mathematical power brokers don't appreciate low-hanging fruit-pickers!
For low-hanging fruit one should most likely join machine learning where all the work currently is done on trivial results that advance the field only in the most marginal sense, but are straightforward to obtain: get more data, use more computing power, produce state-of-the-art results, even if they are only half of a percent better than the previous state of the art results.
For low-hanging fruit one should most likely join machine learning where all the work currently is done on trivial results that advance the field only in the most marginal sense, but are straightforward to obtain: get more data, use more computing power, produce state-of-the-art results, even if they are only half of a percent better than the previous state of the art results.