Ibegbulem Alexander did not earn the moniker “chairman” by presiding over the affairs of any of Nigeria’s 774 local ...

Pulsars are some of the most reliable metronomes in the universe, and scientists are now using their flickering radio beams to keep time across the galaxy and sharpen the search for intelligent life.

While some skills can take ages to perfect and practise, others can be learnt and mastered within a short period of time, given that an ample amount of time is dedicated to the said skill. Here are ...

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 ...

Quantum can learn from the AI hype cycle, finding ways to manage expectations of what could be a very transformative technology. In the near- and mid-term, we need to not overplay things and be ...

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 ...

Abstract: Machine learning algorithms are powerful tools for solving complex problems and making data-driven decisions. However, they can also inherit or amplify biases from the data, the design, or ...