The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics).

Jane Marsh, Editor-In-Chief at Environment.co, explores how advanced data analytics and digital technologies can revitalise ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Machine learning models that assist in road maintenance; artificial intelligence used to comb voluminous data sets; or even the ability to take X-rays or CAT scans of the Earth.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.