In the study “Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets,” published in the journal Risks, the researcher investigates how combining AI with ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

Agreement further extends NetraMark’s portfolio of AI-driven projects in depression and central nervous system (CNS) disorders TORONTO, March ...

Skills in Python, SQL, Hadoop, and Spark help with collecting, managing, and analyzing large volumes of data. Using visualization tool ...

Agreement further extends NetraMark's portfolio of AI-driven projects in depression and central nervous system (CNS) disorders TORONTO, March 11, 2026 (GLOBE NEWSWIRE) -- NetraMark Holdings Inc. (the ...

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

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 ...

Before you buy another training program, fix the system around it. That’s where the real ROI lives.

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Washington University in St. Louis researchers and clinicians have been incorporating data from Fitbit wristbands into machine-learning models that could predict surgical outcomes, pain after surgery ...