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    Webcast

    AI and Machine Learning More Relevant in the Brave New World

    April 14, 2020 01:00 PM

    As unprecedented and far-reaching as the crisis is, a rough sketch of the post-Covid world is starting to emerge. And a lot about this New Normal feels like an accelerated version of the planning done in the pre-Covid world: leaner, cleaner and more decentralized production and post-production pipelines, a big emphasis on security, and of course AI to intelligently integrate and optimize it all. But while the future isn’t totally out of focus, it’s arriving much faster than anybody would have ever anticipated. This is a problem on so many levels, first and foremost because the current “rush to the cloud” - naturally- forces industry players into decisions driven by emergency, and into the arms of large cloud providers all too happy to manage petabytes more data behind their high, comfortable, and outrageously expensive walls. This is one of the areas where even simple machine learning and artificial intelligence solutions can optimize many areas of the New Normal, especially cloud deployments, pipelines, and security. This security will give an overview of the post-COVID cloud infrastructure landscape, and lay out concrete avenues for artificial intelligence to play a central role in the New Normal. 

    Yves_Bergquist_wc_2019-1Guest Speaker: Yves Bergquist

    Yves Bergquist is the Director of the “AI & Neuroscience in Media” Project at the Entertainment Technology Center(ETC), where his team is developing next-generation applications drawn from AI and neuroscience for the media and entertainment industry.ETC is funded by all 6 Hollywood studios, as well as technology companies such as Microsoft, Cisco, Nagra, Technicolor, and Nielsen.Yves is also CEO of AI startup Corto, which is building a comprehensive knowledge engineto help media and entertainment companies develop deep, “genomics”-type insights into how their content resonates with audiences. Corto creates integrated insights across content and audience data using semantic knowledge representation and probabilistic evolutionary meta-learning to autonomously “breed” new generations of machine learning algorithms from hundreds of “parent” algorithms. Cortoisin Alpha testing witha dozen media companies including: Sony Music, Legendary Pictures, Nagra, Netflix, Microsoft, Sony Pictures, 20thCentury Fox, and the Sundance Institute. For more information, go to: www.corto.ai.At ETC, Yves and his team manage a half dozen research and development projects applying advanced AI and neuroscience methods to the challenges facing the entertainment industry, including AI-driven content development, production, postproduction, and marketing. Their efforts include: using social media conversations to model audience decisions in the theatrical window, developing the first audience intelligence application focused on the Chinese market (“Gaosu”), correlating narrative structures in film to theatrical performance (“StoryCipher”),and a Deep Learning-driven semantic content classification application through vector embeddings (“film2vec”). Yves’ team is also working on applying machine intelligence to model algorithmic structures of narrative and “interestingness” in film and TV, as well as building neurobiological models of audience emotions using fMRI. For more information, go to: www.etcenter.org.