From Media to Meaning: Classic Machine Learning with Blaise Agüera y Arcas
In this talk, Blaise examines the recent revolution in deep networks which has enabled the use of classic machine learning techniques to go from media to meaning. He covers neural nets, generative adversarial techniques, and the ethical implications of these new technologies.
Blaise Agüera y Arcas
Blaise Agüera y Arcas is a Distinguished Scientist at Google AI, where he leads a team that works on intersections of neural nets and neuromorphic AI.