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 ...

The deep learning tool, Audioflow, performed almost as well as a specialist machine used in clinics, and achieves similar results to urology residents in assessing urinary flow.

Biases in machine learning have real-world consequences; it helps to know how to find and defeat such bias where it might exist. Never assume that clean (readable, consistent) data is unbiased data.

[6] A. Bard, Y. Qiu, C.R. Kharangate, R. French, Consolidated modeling and prediction of heat transfer coefficients for saturated flow boiling in mini/micro-channels using machine learning methods, ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

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.

River flow: New machine learning methods could improve environmental predictions. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2021 / 06 / 210623091247.htm.

Chart a career in AI and machine learning – get started for just $39 July 5, 2017 - 5:33 pm ...

How Machine Learning Is Improving the RFP Process Getting RFPs right and managing them in real-time by applying predictive insights into how carriers and brokers can work together is a core focus ...