Framework applying Kirchoff’s laws of current flow and voltage changes across circuits can identify lower-energy analog ...

Machine learning has transformed tool condition monitoring by enabling non-invasive, data-driven assessment of cutting tool health. Modern systems deploy a range of sensors—vibration, cutting force, ...

Finding relationships among data is an important skill for any business professional. Understanding cause-and-effect relationships can be the critical factor when it comes to wasted time, lost profits ...

Machine learning algorithms generate predictions, recommendations and new content by analyzing and identifying patterns in their training data. These capabilities power widely used technologies such ...

Cardiovascular disease remains a major global health challenge, causing millions of deaths each year and imposing substantial healthcare costs. Early, accurate diagnosis is critical for improving ...

Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety. In September 2017, about two minutes before a magnitude 8.2 ...

Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...