The vision of a fully connected world is rapidly becoming a reality through the Internet of Things (IoT)—a growing network of ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by enabling AI systems to reason more like humans—without requiring new training ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, satellites, and field records.Artificia ...

Abstract: Utility-driven pattern analysis is a fundamental method for analyzing noteworthy patterns with high utility for diverse quantitative transactional databases. Recently, various approaches ...