Understanding Cybersecurity in the Age of Artificial Intelligence and Machine Learning In an era dominated by technology and ...

Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo ...

In the evolving landscape of data management, Sachin Gupta explores the remarkable advancements made by integrating machine ...

With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas. This ...

Get the latest insights on California’s proposed regulations for AI and Automated Decision Systems in employment. Find out ...

NIST published details about a type of cyberattack unique to AI systems where attackers can “poison” data that might be used ...

Two experts with the OpenAI team have developed a new kind of continuous-time consistency model (sCM) that they claim can ...

To build trustworthy AI systems, developers should focus on fairness, interpretability, privacy, safety and security—the ...

By continuously learning from new data, ML models can adapt to evolving threat landscapes, making them invaluable in identifying zero-day vulnerabilities before they can be exploited.

Consider the mobile apps offered by banks. Many now use deep learning facial recognition software to perform anti-money-laundering and know-your-customers checks on new customers. Yet, beyond the ...

Have you noticed that markets move at lightning speed? So businesses can't afford to rely on guesswork. Predictive analytics ...

A new advanced artificial intelligence (AI) tool, developed by renal doctors internationally, represents a significant step forward in predicting and potentially improving outcomes for UK kidney ...