Next big challenges in core AI technology

Autor:	Dengel, A., Etzioni, O., DeCario, N., Hoos, H.H., Li, F.F., Tsujii, J., Traverso, P., Braunschweig, B., Ghallab, M.
Přispěvatelé:	Braunschweig, B., Ghallab, M.
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Core (game theory) Order (exchange) Computer science Interpretation (philosophy) Perception media_common.quotation_subject Group coordination Robot Data science Field (computer science) media_common
Zdroj:	Lecture Notes in Computer Science, 90-115. Cham: Springer STARTPAGE=90;ENDPAGE=115;TITLE=Lecture Notes in Computer Science Reflections on Artificial Intelligence for Humanity ISBN: 9783030691271 Reflections on Artificial Intelligence for Humanity
Popis:	The field of AI is rich in scientific and technical challenges. Progress needs to be made in machine learning paradigms to make them more efficient and less data intensive. Bridges between data-based and model-based AI are needed in order to benefit from the best of both approaches. Many real-life situations cannot yet be addressed by current robots, demanding progress in perception, scene interpretation or group coordination. This chapter addresses some of the major scientific and technological challenges in core AI technology.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcefcb7b4727da87b2397f1096e5f5e3 https://hdl.handle.net/1887/3277262 Zobrazit plný text záznamu