Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

How To Exclude Bias From A Machine Learning Algorithm There are three key rules that my team and I always observe when creating ML algorithms: • Ensure proper data collection.

Multi-target quantum compilation algorithm. Machine Learning: Science and Technology, 2024; 5 (4): 045057 DOI: 10.1088/2632-2153/ad9705 ...

Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding ...

ScaleOut Software is adding generative AI and machine-learning (ML) powered enhancements to its ScaleOut Digital Twins cloud service and on-premises hosting platform with the release of Version 4.

“ScaleOut Digital Twins Version 4 marks a pivotal step in harnessing AI and machine learning for real-time operational intelligence,” said Dr. William Bain, CEO and founder of ScaleOut Software.

BOSTON — A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial hypercholesterolemia, according to a new study. Spencer V. Carter ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

University of Sheffield researchers developed a machine learning framework to improve coating properties in a roll-to-roll slot die coating process. The work is seen as an initial step toward broader ...

A version of this article appears in print on July 5, 2023, Section C, Page 1 of the New York edition with the headline: Black Artists See Clear Bias in A.I..