Intelligent systems — software and/or hardware systems that can interact with their dynamic environments, process data, perform proper actions, and improve over time — are becoming ubiquitous. Advancements in information technology, artificial intelligence and control, computing capabilities, instrumentation, sensors and actuators have dramatically increased the pace at which intelligent systems enter our daily lives, e.g. in our software, smartphones, cars, robots, and infrastructure.
Intelligent systems involve exciting scientific and engineering questions: How can we push the technological limits to make intelligent systems more robust, more useful, more intuitive, better at improving and possibly repairing themselves? How can we approach the adaptive behavior exhibited in nature?
The Annual PhD Summit of the School of Engineering at EPFL will cover the theory, design, and applications of intelligent systems with an interdisciplinary perspective. Last year Ph.D. students working in fields such as robotics, embedded systems, internet of things, artificial intelligence, machine learning, computer games, human-computer interfaces, computational neuroscience, and cognitive science, with novel research contributions that fit into the general theme of Intelligent Systems are eligible to apply to the summit.
Keywords: theory of intelligent systems (IS), hardware for IS, programming of IS, applications of IS, autonomous robotics, embedded systems, internet of things, artificial intelligence, machine learning, computer games, human-computer interfaces, computational neuroscience, and cognitive science.