Intelligent and Autonomous Systems
Automation used to be the ultimate innovation in industry, but automated systems still relied on human intervention for configuration and supervision. In addition, it was sometimes difficult to get these systems to work in new contexts. Introducing intelligence into the machines that make up these autonomous systems enables them to maintain performance and the precision of operations they require, because they can detect, plan and act on their own, even in a changing environment.
Applications are wide-ranging: autonomous transportation, computer-aided diagnosis, financial technologies, collaborative robotics, etc. These fields require both high-performance AI algorithms that can adapt to unpredictable situations and systems that can “sense” their environment and act upon it.