So are humans and algorithms mutually exclusive then? Not necessarily! Consider that for many of us, the most familiar example of a machine-learning algorithm is probably the Facebook news feed.

Algorithms are proprietary though, and monopolistic within their context (a customer can’t select the algorithm they want to use to assess their credit, for instance).

Deep learning applications There are many examples of problems that currently require deep learning to produce the best models. Natural language processing (NLP) is a good one.

ChatGPT and other bots have revived conversations on artificial general intelligence. Scientists say algorithms won’t surpass you any time soon.

Why do these algorithms need to be quantum resistant? Cryptographic algorithms are able to keep data secret because they are mathematically intensive to break.

One fact about machine learning and data algorithms that may surprise business users is that there aren’t that many of them.

The history of the social sciences has included a succession of advances in the ability to make observations and carefully test hypotheses. The compilation of massive data sets, for example, and the ...