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The world's top researchers are pushing the boundaries of artificial intelligence at the NVIDIA AI Labs, known as NVAIL, located at 20 top universities around the globe. At University of Toronto, Raquel Urtasun is developing affordable self-driving cars. But because genomic data is highly complex, researchers must develop more effective deep learning techniques, said Adriana Romero, a post-doctoral fellow at Montreal Institute for Learning Algorithms, Université of Montréal. "Right now you see robots in factories or other settings where they repeat the same thing over and over again," said Chelsea Finn, a doctoral student working in the University of California, Berkeley's AI lab, which was one of the first to receive an NVIDIA DGX-1.