Machine learning develops rapidly, which has made many theoretical breakthroughs and is widely applied in various fields. Optimization, as an important part of machine learning, has attracted much ...

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

This course introduces basic ideas of machine learning with a focus on the most popular machine learning algorithms for supervised and unsupervised learning. The software workshop shows an application ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.