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Deep Learning. Viitorul inteligenței artificiale și impactul acesteia asupra dezvoltării tehnologiei

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  • Catalin VRABIE

    (Școala Națională de Studii Politice și Administrative (SNSPA), București, România)

Abstract

Ceea ce își propune acest eseu este prezentarea conceptelor Machine Learning (ML) și Deep Learning (DL), din domeniul științei informatice, concepte aflate acum în plin avânt mediatic dar, evident, și tehnologic. Pe măsură ce ne apropiem de cea de-a șaptezecea aniversare a noțiunii de inteligență artificială (AI) (anul 2026), investițiile globale în acest domeniu au atins un nivel record. În ultimii ani, tehnologiile mobile și cele cloud au apărut ca paradigme dominante, oferind o multitudine de oportunități întregii societăți începând cu comunitățile de utilizatori și până la cele de cercetători și dezvoltatori; acum însă credem că inteligența artificială, în special Deep Learning, ar putea deține un potențial și mai mare, depășindu-l astfel pe cel al tehnologiile anterioare. Motivul din spatele acestei convingeri va deveni din ce în ce mai clar în paginile care urmează.

Suggested Citation

  • Catalin VRABIE, 2022. "Deep Learning. Viitorul inteligenței artificiale și impactul acesteia asupra dezvoltării tehnologiei," Smart Cities International Conference (SCIC) Proceedings, Smart-EDU Hub, vol. 10, pages 9-32, November.
    • Handle: RePEc:pop:procee:v:10:y:2022:p:9-32
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    References listed on IDEAS

    as
    1. Christian SCHACHTNER, 2021. "Smart government in local adoption –Authorities in strategic change through AI," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, vol. 5(3), pages 53-62, July.
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    More about this item

    Keywords

    Machine Learning; Natural Language Processing; Robotics;
    All these keywords.

    JEL classification:

    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

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