Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Abstract: In the rapidly evolving landscape of smart grid cybersecurity, the integration of artificial intelligence and machine learning algorithms has emerged as a pivotal element in fortifying ...

Ibegbulem Alexander did not earn the moniker “chairman” by presiding over the affairs of any of Nigeria’s 774 local government areas. He rose to that title through a darker kind of influence—one ...

Netflix has partnered with Lionsgate to produce a brand-new sci-fi action movie starring Alan Ritchson, who is becoming a highly sought-after action star. Filming concluded in late 2024 and is ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...

The year 2024 is the time when most manual things are being automated with the assistance of Machine Learning algorithms. You’d be surprised at the growing number of ML algorithms that help play chess ...

In the past few years, HR has seen a significant transformation driven by the rise of machine learning tools and technology. 1 These tools extract insights, patterns, and predict trends from massive ...