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Building Literate Machines

Talkat The AI Conference 2017 · on Friday, 2017-06-02· [machine-learning]
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Maluuba (now part of Microsoft) builds neural systems that read web pages and answer questions in real time; a live demo shows a Chrome extension parsing articles it never saw during training and returning concise answers. Models achieve near state‑of‑the‑art results on datasets like NewsQA and CNN QA, use deep nets for machine reading comprehension, and apply reinforcement learning to generate useful follow‑up questions. Claims include billions of queries and strong SOTA comparisons, with current limits in transfer learning, common‑sense reasoning, and multimodal grounding.

AI-written summary · about

  1. 0:00Start
  2. 0:30Using Deep Learning To Really Understand Language
  3. 6:21Core Applications of Artificial Intelligence
  4. 11:10Limitations in Ai
  5. 13:03Ibm Watson
  6. 20:28Microsoft's Blog about Tackling Water Scarcity
  7. 21:39Conversational Interfaces
  8. 26:23What's Next
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