Xero added it is working with advisors to pilot a short-term cash flow tool that uses data and advanced statistical methods to provide small businesses with a 30-day view of artificial ...

WASHINGTON, July 1, 2025 /PRNewswire/ -- FinRegLab today released new empirical research demonstrating that adopting machine ...

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 ...

Webroot has announced the acquisition of CyberFlow Analytics, a firm which specializes in harnessing machine learning technology to automatically detect cybersecurity threats. On Monday, the ...

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.

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.

[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, ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.