Programming paradigms for machine learning

We have never been surrounded by so many digital devices that produce a vast and continuous stream of data. Opportunities to learn from these data occur in virtually every application field, from personalized healthcare, over advanced factory and home automation to autonomous vehicles and robots. The challenge, however, is to efficiently make sense from this vast amount of sensory data and extract knowledge on the fly. Solving this challenge requires a close collaboration between the fields of artificial intelligence, machine learning, micro-electronics and the targeted application domains. The Flanders region is home to a world-renowned ecosystem on machine learning, with a very tight collaboration between researchers focusing on algorithmic issues, hardware implementations and applications. Machine learning has seen a strong uprise in the past decade and is rapidly and radically changing many technologies. This seminar will provide a top-down dive into the opportunities and challenges of applying machine learning in several contexts. After an overview of the topic, speakers from academia will present the state-of-the-art findings from the algorithmic and hardware point of view, focusing on realtime and embedded applications. Next, visionary applications in different domains will be presented.http://www.leuveninc.com/news/4746/Leuven.Inc_Visionary_seminar_Machine_Learning_for_a_smarter_world/status: publishe