ACM TechTalk: From Media to Meaning: Classic Machine Learning mit Blaise Agüera y Arcas (Google AI)

ACM TechTalks are a new series of videos from the top researchers and thought leaders in computing working at the forefront of computing theory and practice. Inspired by the popular ACM Learning Webinar series, TechTalks are thought-provoking and accessible entry points into technical trends and emerging technologies for students, practitioners, and anyone interested in the future of computing.

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.

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.

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