The Machine Intelligence Lab (MIL) focuses on theory and practice of novel machine learning technologies that are applicable to a broad range of domains. In particular, we investigate biologically-inspired deep machine learning architectures that are combined with reinforcement learning algorithms to yield high-performance decision making systems.

Our studies emphasize qualitative and quantitative evaluation of system performance, robustness and scalability. To achieve the latter, we introduce hybrid hardware/software designs that are realizable using customized massively-parallel computation platforms.
Ph.D. Research Assistantship positions are immediately available in the area of computational intelligence. Highly motivated individuals with strong academic background are encouraged to contact Dr. Itamar Arel for more information.