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b'In this episode, Audrow Nash interviews Sergey Levine, assistant professor at UC Berkeley, about deep learning on robotics. Levine explains what deep learning is and he discusses the challenges of using deep learning in robotics. Lastly, Levine speaks\\xa0about his collaboration with Google and some of the surprising behavior that emerged from his deep learning approach (how the system grasps soft objects).\\n\\n\\n\\nIn addition to the main interview, Audrow interviewed Levine about his professional path. They spoke about what questions motivate him, why his PhD experience was different to what he had expected, the value of self-directed learning, \\xa0work-life balance, and what he wishes he\\u2019d known in graduate school.'