Zobrazeno 1 - 10
of 2 021
pro vyhledávání: '"Github"'
Autor:
BIRD, CHRISTIAN1, FORD, DENAE2, ZIMMERMANN, THOMAS3, FORSGREN, NICOLE4, KALLIAMVAKOU, EIRINI5, LOWDERMILK, TRAVIS6, GAZIT, IDAN7
Publikováno v:
Communications of the ACM. Jun2023, Vol. 66 Issue 6, p56-62. 7p. 3 Color Photographs, 1 Chart.
Autor:
CLEM, TIMOTHY, THOMSON, PATRICK1
Publikováno v:
Communications of the ACM. Feb2022, Vol. 65 Issue 2, p44-51. 8p. 1 Chart, 2 Graphs.
Autor:
Marko Mišić, Matija Dodović
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract Large language models have sparked a lot of attention in the research community in recent days, especially with the introduction of practical tools such as ChatGPT and Github Copilot. Their ability to solve complex programming tasks was also
Externí odkaz:
https://doaj.org/article/1cefe9f05f184cc08f4d661c8f1c184a
Autor:
Fackler, Thomas1, Laurentsyeva, Nadzeya2
Publikováno v:
CESifo Forum. Sep2020, Vol. 21 Issue 3, p15-20. 6p.
Autor:
Gabriel Oliver Mesaroš
Publikováno v:
Interdisciplinary Description of Complex Systems, Vol 22, Iss 3, Pp 355-359 (2024)
This article investigates the usage of GitHub Copilot, an artificial intelligence-powered coding assistant owned by Microsoft and GitHub, in the process of learning and teaching web development both in formal academic, and informal settings. We dive
Externí odkaz:
https://doaj.org/article/3aac0bb39f2449a287c23a0aadde157e
Autor:
Osland, Asbjorn1, Luo, Lori2
Publikováno v:
Journal of Organizational Psychology. Oct2018, Vol. 18 Issue 3, p118-123. 6p.
Autor:
Mushfiqul Anwar Siraji, Munia Rahman
Publikováno v:
Clocks & Sleep, Vol 6, Iss 1, Pp 1-10 (2023)
Achieving research reproducibility is a precarious aspect of scientific practice. However, many studies across disciplines fail to be fully reproduced due to inadequate dissemination methods. Traditional publication practices often fail to provide a
Externí odkaz:
https://doaj.org/article/1771cac855aa49ff90ffe1862021b25d
Autor:
Simion-Daniel TATAR
Publikováno v:
Applied Medical Informatics, Vol 46, Iss Suppl. S1, Pp S18-S18 (2024)
Background and Aim: The recent surge in data availability from various life science domains and the latest development of deep learning algorithms allow the use of these heterogeneous data combined. These multimodal data are an enabler of cancer rese
Externí odkaz:
https://doaj.org/article/a91849143bea421fb15cf93bdf52d2a8