A4 Artikkeli konferenssijulkaisussa
From Deep Learning to Deep University : Cognitive Development of Intelligent Systems (2018)


Golovianko, M., Gryshko, S., & Terziyan, V. (2018). From Deep Learning to Deep University : Cognitive Development of Intelligent Systems. In J. Szymański, & Y. Velegrakis (Eds.), Semantic Keyword-Based Search on Structured Data Sources. IKC 2017 (pp. 80-85). Springer. Lecture Notes in Computer Science, 10546. https://doi.org/10.1007/978-3-319-74497-1_8


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Golovianko, Mariia; Gryshko, Svitlana; Terziyan, Vagan

Emojulkaisu: Semantic Keyword-Based Search on Structured Data Sources. IKC 2017

Emojulkaisun toimittajat: Szymański, Julian; Velegrakis, Yannis

Konferenssi:

  • International keystone conference

ISBN: 978-3-319-74496-4

Lehti tai sarja: Lecture Notes in Computer Science

ISSN: 0302-9743

Julkaisuvuosi: 2018

Sarjan numero: 10546

Artikkelin sivunumerot: 80-85

Kirjan kokonaissivumäärä: 261

Kustantaja: Springer

Julkaisumaa: Sveitsi

Julkaisun kieli: englanti

DOI: https://doi.org/10.1007/978-3-319-74497-1_8

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus: 

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/57128

Lisätietoja: Third International KEYSTONE Conference, IKC 2017, Gdańsk, Poland, September 11-12, 2017, Revised Selected Papers and COST Action IC1302 Reports


Tiivistelmä

Search is not only an instrument to find intended information. Ability to search is a basic cognitive skill helping people to explore the world. It is largely based on personal intuition and creativity. However, due to the emerged big data challenge, people require new forms of training to develop or improve this ability. Current developments within Cognitive Computing and Deep Learning enable artificial systems to learn and gain human-like cognitive abilities. This means that the skill how to search efficiently and creatively within huge data spaces becomes one of the most important ones for the cognitive systems aiming at autonomy. This skill cannot be pre-programmed, it requires learning. We offer to use the collective search expertise to train creative association-driven navigation across heterogeneous information spaces. We argue that artificial cognitive systems, as well as humans, need special environments, like universities, to train skills of autonomy and creativity.
See presentation slides: https://ai.it.jyu.fi/IKC-2017.pptx


YSO-asiasanat: kognitiivinen kehitys

Vapaat asiasanat: syväoppiminen


Liittyvät organisaatiot


OKM-raportointi: Kyllä

Raportointivuosi: 2018

JUFO-taso: 1


Viimeisin päivitys 2024-22-04 klo 23:07