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Professor Pascal Vincent focuses on how humans interpret raw sensory data (such as sounds and images) and convert them into high-level representations that allow for meaningful understanding of the environment. His research exploits complex statistical regularities to model realities similarly to neural networks capabilities. With the rise of big data and novel artificial intelligence techniques, he develops learning algorithms that enable machines to perceive and interpret the surrounding world and react accordingly to specific situations. As a researcher at the Montreal Institute for Learning Algorithms, alongside Professor Yoshua Bengio, he has contributed significantly since earning his doctorate in computer science from the University of Montreal in 2003.
Most programs require French B2 level; specific departments may require C1 or C2.