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  2. McKinsey partners with startup Cohere to help clients adopt ...

    www.aol.com/news/mckinsey-partners-startup...

    Consultancy giant McKinsey said it had struck a partnership with artificial intelligence startup Cohere in an effort to provide AI solutions to its enterprise clients. This is the first ...

  3. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

  4. Example-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Example-based_machine...

    Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to machine learning .

  5. 70% of jobs can be automated, McKinsey’s AI thought leader ...

    www.aol.com/finance/70-jobs-automated-mckinsey...

    AI has been a hot topic among business leaders over the past year, driving a Wall Street gold rush but dividing experts on exactly how the tech will change the world. Since the phenomenal rise of ...

  6. McKinsey exec warns banks to avoid ‘thousand flowers bloom ...

    www.aol.com/finance/mckinsey-exec-warns-banks...

    McKinsey published its first big AI report last December. Since then, the consulting firm has joined the small army of consultants working with banks and other financial firms to help them best ...

  7. Rule-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_translation

    Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target languages basically retrieved from (unilingual, bilingual or multilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively.