Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...

The next phase of AI, already underway, will integrate text with vision, sound, motion and even touch. This will produce systems that no longer 'read about' the world but perceive it.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...

Abstract: Emotion classification from textual data is crucial in natural language processing (NLP) applications such as sentiment analysis and psychological monitoring. This study proposes an ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Introduction: By issuing work-break reminders, for example, personal assistants for cognitive load could be beneficial in maintaining health and life satisfaction in society. Wearable sensors ...