Presents interviews conducted with robotics engineers discussing advances in artificial intelligence, with particular use in machine learning. Advances in artificial intelligence (AI), especially in machine learning (ML), are changing the business models of many companies, and creating entirely new ones. Recent research estimates that AI could boost profitability rates by 38% worldwide, leading to an economic boost of €12 trillion across a variety of industries by 2035. This immense number is an accumulation of many smaller numbers, related to the successful deployment of ML at individual companies, including small and medium-sized enterprises (SMEs) and start-ups.


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    Titel :

    Innovation Paths for Machine Learning in Robotics


    Beteiligte:
    Stulp, Freek (Autor:in) / Spranger, Michael (Autor:in) / Listmann, Kim (Autor:in) / Doncieux, Stéphane (Autor:in) / Tenorth, Moritz (Autor:in) / Konidaris, George (Autor:in) / Abbeel, Pieter (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2022-12-07



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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