Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

The rapid growth of digital markets and the use of artificial intelligence in business decision-making have fundamentally ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

In 2026, artificial intelligence (AI) has transformed the world of finance, with AI trading bots now helping thousands of ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...

Abstract: Using machine learning approaches, this effort aims to enhance CRM systems. Controlling client interactions, increasing client retention, and strengthening sales strategy are all greatly ...

In the third instalment of a six-part series on the disruption within the creative industries occasioned by Artificial ...