Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Unless underlying data are corrected, the use of Artificial Intelligence (AI) in organizational hiring processes holds the ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree in Artificial Intelligence beginning in Fall 2026. As AI rapidly ...

Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...

A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...

Background Behaviours across a 24-hour day, including physical activity, sedentary time and sleep, are disrupted following cancer and contribute to cancer-related outcomes. This study describes the ...

Psychiatric diagnosis still relies on symptom checklists that were never designed to reflect biology. A peer-reviewed invited review published in Brain Medicine now synthesizes recent advances across ...

This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

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