Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

With the continuous advancement of quantum computing technology, quantum machine learning is bound to become a key direction for future technological innovation. The entanglement-assisted training ...

In the current era, Indraneel Borgohain, a researcher in clinical informatics and data systems, brings forward a compelling ...

Autonomous AI agents are emerging as a pivotal force, transforming data operations from traditional retrospective analysis into proactive intelligence systems. Mahesh Kumar Goya is at the forefront of ...

IntroductionThe UK water industry faces significant challenges in ensuring the accuracy and quality of the vast amounts of ...

The PMDC at PolyU has created tools to enhance vessel monitoring and emergency response for typhoon-prone Hong Kong.

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.