Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260
2019-05-03 · 59 min · episode 260 · 16 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260
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co-author of the book Natural Language Processing with PyTorch
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co-author of the book Natural Language Processing with PyTorch
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Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260
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evidence rules-v4
Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
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co-author of the book Natural Language Processing with PyTorch
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co-author of the book Natural Language Processing with PyTorch
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evidence rules-v4
co-author of the book Natural Language Processing with PyTorch
podcasts 1
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260
Episode description as stored
Today we’re joined by Delip Rao, vice president of research at the AI Foundation, co-author of the book Natural Language Processing with PyTorch, and creator of the Fake News Challenge.
In our conversation, we discuss the generation and detection of artificial content, including “fake news” and “deep fakes,” the state of generation and detection for text, video, and audio, the key challenges in each of these modalities, the role of GANs on both sides of the equation, and other potential solutio