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AI: From pipe-dream to science? (SXSW 2013 preview)
AI: From pipe-dream to science? (SXSW 2013 preview)
AI: From pipe-dream to science? (SXSW 2013 preview)
AI: From pipe-dream to science? (SXSW 2013 preview)
AI: From pipe-dream to science? (SXSW 2013 preview)
AI: From pipe-dream to science? (SXSW 2013 preview)
AI: From pipe-dream to science? (SXSW 2013 preview)
AI: From pipe-dream to science? (SXSW 2013 preview)
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AI: From pipe-dream to science? (SXSW 2013 preview)

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AI: From pipe-dream to science? …

AI: From pipe-dream to science?

Preview slides for a SXSW 2013 interactive proposal.

For the last decade, it used to be hard to believe that AI was around the corner. You had to delve into academic work with an unhealthy level of optimism. But given recent industry efforts like IBM Watson, Apple’s Siri, and Google’s robot driven-cars, even non-expert observers and stony cynics must think twice before they chuckle about artificial intelligence. And recent scientific work is even more promising.

Great. So are we getting AI or what?

In this session, I’ll begin by discussing the state-of-the-art of AI in industry. Next, we’ll discuss cool new *rigorous* scientific research in AI, covering the major areas like language-processing, vision, and robotics. These results haven't made it into industry yet, but it's only a matter of time. The audience will learn about new results that could be deployed in industry in the next few years. Based upon these results, I will end by making predictions about ways that AI-applications will be in the hands of consumers real soon now.

Published in: Technology, Education
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  • 1. AI: From pipe-dream to science? SXSW 2013 preview Joseph Turian joseph@metaoptimize.com @turian MetaOptimize
  • 2. Who am I?Engineer with 20 yrs coding expPhD 10 yrs exp: AI, ML, NLPFounded MetaOptimize
  • 3. We welcome our AI overlords?
  • 4. Industry efforts towards AI?IBM WatsonApples SiriGoogles robot driven cars...
  • 5. Major sub-disciplines of AILanguage (NLP, speech)Control (robotics)VisionPlanning
  • 6. Recent AI scientific advances Deep learning
  • 7. Deep learning architecture Output: is bob?Highest-level features: … Faces … Abstract features: Shapes … Primitive features: … Edges Input: Raw pixels …
  • 8. Potential upcoming AI apps Youll find out at the talk … :)

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