I will discuss five key intersections between machine learning and generative AI. I have previously spoken about these topics ...

The core argument of the paper is that what counts as misinformation is not an objective fact but a relative judgment ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, ...

Watson needs to independently "understand" and "respond" to human writing and speech, which is an example of machine learning. Watson, the supercomputer, is artificial intelligence, while its ...

In physics, a phase transition is a transformation of a substance from one form to another. They happen everywhere, from ...

Apple has published two new research papers on its Machine Learning blog, detailing an AI model for improved photogrammetry ...

Machine learning has become an essential tool for many industries looking to harness the power of artificial intelligence. However, getting machine learning models from experimental phases to ...

Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.

This course will provide a practical introduction to the machine learning concepts, methods, and tools to STEM students, including regression models, neural networks, modern deep learning, ensemble ...