A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

In 1960, Andrey Kolmogorov posed a seemingly impossible challenge at a seminar at Moscow State University: could there be a ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

AI has entered a new phase. It is no longer just about building larger models or accessing more data. Today’s competition ...

Artificial Intelligence is a controversial subject—though not for railroads when it comes to safety, if used properly. The ...

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical ...

Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

Discover the most in-demand tech skills for 2025—from AI and Python to cloud computing and cybersecurity. Stay ahead with ...