The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Exploring How Generative AI, Edge AI, and Quantum Machine Learning Are Revolutionizing Healthcare, Finance, Logistics, and ...

Abstract: With integration of Distributed Energy Resources (DERs) in the distribution system (DS), the power quality has decreased causing large deviation in voltage, frequency and, especially during ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...