1. AI Programming: So Much Uncertainty

    AI Programming: So Much Uncertainty

    3:00am, by Joab Jackson + Much work, and many tools, are still needed to integrate artificial intelligence into the software engineering workflow, noted Peter Norvig , Google’s director of research, speaking at the O’Reilly Artificial Intelligence conference in New York last week.

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD

    1. AI systems are fundamentally dealing with uncertainty whereas traditional software is fundamentally trying to hide uncertainty.
    2. We can only say that probabilistically.
    3. In AI systems, we want the uncertainty to propagate through the model, whereas in the traditional software, we don't.
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