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“Get Ready for Machine Learning and Artificial Intelligence” at NAB Show

New program at NAB Show to examine machine learning & AI

WASHINGTON — NAB Show is debuting a new program called “Get Ready for Machine Learning and Artificial Intelligence.” It’s part of the Next-Generation Media Technologies Conference and is scheduled for Tuesday, April 10, 9 a.m.–12 p.m.

The program features six sessions that highlight the ways machine intelligence is impacting content creation, according to NAB.

“Machine and deep learning and artificial intelligence have the potential to dramatically transform content creation,” said NAB EVP of Conventions and Business Operations Chris Brown. “We’re looking forward to hosting some of the industries’ leading creatives and technologists as they reveal how neural networks and other advancements are enabling production techniques previously thought impossible.”

[Read: FCC Chair and Commissioners to Speak at NAB Show]

The sessions will kick off with “The Evolution of Content Production Aided by Machine Learning” by Amazon Web Services WW Technical Leader for Media and Entertainment Usman Shakeel.

Next, Technicolor VP of Research and Innovation Jean Bolot will discuss “Optimizing Production With Neural Networks.”

USC School of Cinematic Arts editor and professor Norman Hollyn will address “How Machine Intelligence Is Transforming Editorial” and explore the topic with Adobe Systems principal solutions engineer Todd Burke.

Then, Nvidia Senior Solutions Architect Rick Grandy will discuss “New Frontiers in Animation and Computer Graphics.”

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Deluxe Technology VP of Product Development Weyron Enriques, Home Box Office SVP of Digital Production Services Barbara Ford Grant and Google M&E cloud solutions architect Adrian Graham will participate in “From Dailies to Master: Machine Intelligence Comes to Video Workflows.”

The program ends with “The Future of Content With Machine Intelligence,” featuring Google Cloud Technical Director for the Office of the CTO Jeff Kember, discussing the likely path of new algorithms and compute power.