As this author astutely points out, it is a complex/dynamic relm we're entering on assumptive/predictive cell-percept. From this if achieved, maybe better AI apps will emerge.

''The sophistication of NLU – inferring intent from a user’s input and acting on it – is also increasing. Today’s state-of-the-art blends powerful linguistic frameworks (called symbolic processing), explicit representation of knowledge (ontologies) and machine learning that take advantage of big data to populate the frameworks with observed examples and patterns. This complementarity is important: past symbolic approaches proved to be fragile, and pure data-driven NLU typically only achieved shallow understanding''

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