However, algorithms are not a perfect answer. There are biases behind the data, and the construction of models is based on ...

Zebra Medical Vision has received a CE mark for its medical image analysis technology. The system uses algorithms to uncover evidence of fatty liver, coronary artery calcium, emphysema and other ...

A study led by researchers at the Alan Turing Institute finds that algorithms designed to diagnose COVID-19 from coughs perform poorly.

Analyzing The Losses In Visually Lossless Compression Algorithms Methods to assess algorithm quality, and observations about VESA Display Stream Compression using these algorithms.

Janis P. Hardwick, Quentin F. Stout, Flexible Algorithms for Creating and Analyzing Adaptive Sampling Procedures, Lecture Notes-Monograph Series, Vol. 34, New Developments and Applications in ...

Explore quantitative trading, where math-driven strategies identify opportunities for profit, used by institutions and ...

Google, Meta, and others test their algorithms for bias using standardized skin tone scales. Sony says those tools ignore the yellow and red hues at work in human skin color.

HistoQuest is a brightfield image analysis software for the FACS-like analysis of samples stained with immunohistochemical or histochemical stains.

Researchers describe a machine-learning algorithm that can register brain scans and other 3D images more than 1,000 times more quickly using novel learning techniques.

Creating smart, accurate AI algorithms is an ongoing effort that requires validation of training sets and some level of human intervention. Here's a guide to how to craft effective ones.