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. Check this page frequently for upcoming talks, which will be made available on demand. To subscribe to our webinar announcements, email firstname.lastname@example.org.
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From Media to Meaning: Classic Machine Learning with 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.
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.
ACM award winners, leading researchers, industry veterans, thought leaders, and innovators address today and tomorrow's hottest topics and issues in computing for busy practitioners, as well as educators, students, and researchers. Check out our archive of these ACM Learning Webinars, free for members and non-members alike.
Talks from some of the leading visionaries and bleeding-edge researchers in AI/ML: Fei-Fei Li on visual intelligence in computers and ImageNet; Eric Horvitz on AI solutions in the open world; and Tom Mitchell on using ML to study how the brain creates and represents language.
Register now for the next ACM Learning Webinar, "Building a Culture to Support Inclusive Design," presented on Thursday, March 7 at 12 PM ET/9 AM PT by Jen Devins, Google Accessibility UX Lead and Nithya Sambasivan, Senior User Experience Researcher at Google. Eve Andersson, Director of Google AI and ACM Professional Development Committee Chair, will moderate the questions and answers session. Continue the discussion and checkout further resources on ACM's Discourse Page.
View the most recent ACM Learning Webinar, "The Bayesian Zig Zag: Developing Probabilistic Models Using Grid Methods and MCMC," on demand. The talk was presented by Allen Downey, Professor of Computer Science, Olin College. Continue the discussion and checkout further resources on ACM's Discourse Page.