Chapter 17: Active Matter and Artificial Intelligence

In this chapter, we explore the intersection of active matter and artificial intelligence (AI), providing a brief overview of machine learning principles and their application in understanding and manipulating active matter. We discuss both opportunities and challenges that AI methodologies present in the data acquisition and analysis as well as in the data-driven modelling of active colloids. We then highlight the role of AI in enhancing navigation and search strategies of active colloids, and in understanding their collective dynamics, offering insights into the algorithms that guide these processes. We conclude by addressing the ethical implications and safety guidelines necessary for the responsible use of AI in this field. With this chapter, we aim to equip readers with a thorough understanding of the current state and potential advancements in employing AI to unravel the complexities of active colloids, making it a valuable resource for researchers and enthusiasts alike.