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Similarity learning is an area of supervised machine learning intently associated with regression and classification, although the intention is to find out from examples employing a similarity functionality that measures how similar or related two objects are.Learners may also disappoint by "learning the incorrect lesson". A toy example is always t

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The key theme is that 'cognition is perception'. The outline of the principle parts and mechanisms in the architecture is followed by a dialogue of a number of domains...In Tuesday’s Q&A session, Huang was asked what to do about AI hallucinations — the inclination for a few AIs to produce up answers that seemNICE is delighted for making readily

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