Abstract: Cybersecurity threats have evolved in sophistication, necessitating the development of intelligent and adaptive defense mechanisms. Cognitive cybersecurity systems present the opportunity to ...

ICE agents leave a residence after knocking on the door on Jan. 28, 2026 in Minneapolis, Minnesota. The U.S. Department of Homeland Security continues its immigration enforcement operations after two ...

Abstract: With the increase in adoption of CCTV surveillance systems in both private and public spaces, the need for developing intelligent systems for automatic video analysis has augmented. This ...

Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms. ATA was born ...

Recent advancements in the field of artificial intelligence (AI) have exposed many modern organizations to the benefits of intelligent automation. According to research published by McKinsey, almost ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Machine learning operations (MLOps) have rapidly evolved from experimental workflows to production-critical systems powering everything from fraud detection to autonomous vehicles. But as ...

For most aging Americans, Social Security income isn't a luxury -- it's a necessary payout that ensures a stable financial foundation. For 24 years, Gallup has been surveying retirees to gauge their ...