Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.

Genetic algorithms are so much fun. I was playing around with them on the Commodore 128 back in the day, as an experiment for enhancing the gameplay for a type-in game from RUN Magazine.

Models, uses and limitations. Machine learning exercises follow a circular pattern. First, data is prepared and cleaned. Next, a data scientist will select an algorithm to use as the basis for the ...

Machine learning has returned with a vengeance. I still remember the dark days of the late '80s and '90s, when it was pretty clear that the current generation of machine-learning algorithms didn't ...

New work from Zhong and others shows that priming a learning model in this way can supercharge learning in simulated environments, both online and in the real world with robots. And it doesn’t just ...

Machine learning algorithm helps unravel the physics underlying quantum systems ... Learning models of quantum systems from experiments. Nature Physics, 2021 DOI: 10.1038/s41567-021-01201-7; ...