Machine Learning: A field of artificial intelligence, focused on the creation of algorithms, models and systems to perform tasks and generally to improve upon themselves in performing that task ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed ...

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved July 23, 2025 from www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm. Ohio State University.

In most cases, the same machine learning algorithms can work with both supervised and unsupervised datasets. The main difference is that unsupervised learning algorithms start with raw data, ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The full dataset contained 2,523 compounds and included compounds with both senolytic and non-senolytic properties so as not to bias the machine-learning algorithm.

New algorithm boosts multitasking in quantum machine learning. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...

How Machine Learning Boosts Healthcare Cybersecurity We regularly apply ML algorithms in our software development projects and, specifically, in healthcare projects.

A machine learning algorithm for detecting and classifying acute respiratory disease showed good predictive ability based on cough sounds among pediatric patients, according to a new study ...