Machine Learning Machine Design
Machine Learning Machine Design involves the use of algorithms and statistical models to enable machines to improve their performance and make decisions without being explicitly programmed. It combines principles of machine learning with engineering design to create innovative and efficient machines that can learn and adapt to new data and situations. This field encompasses the development of intelligent systems, robotics, and automation technologies that can continuously learn and evolve to optimize their performance and functionality.
External Links
- [tacc.ust.hk] TACC | iSING Lab HKUST | Scalable AI Infrastructure Designed for Evolving Machine Learning Research