In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

If we're looking to optimize well-understood algorithms, like sorting functions, then basing something on existing human code is, at best, going to get you equivalent performance.

Because people train algorithms on their decisions – for example, algorithms that make recommendations on e-commerce and social media sites – algorithms learn and codify human biases.

In the code released last week, Musk’s name appears, seemingly confirming reports that he had pressured engineers into creating a special system to have the algorithm prioritize his tweets.

For example, algorithms facilitate expedited credit assessments, allowing consumers to be approved for a loan in a matter of minutes. Cryptographic algorithms improve a consumer’s experience by ...