Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Michael Castelle"'
Publikováno v:
Big Data & Society, Vol 11 (2024)
Following the release of large language models in the late 2010s, the backers of this new type of artificial intelligence (AI) publicly affirmed that the technology is controversial and harmful to society. This situation sets contemporary AI apart fr
Externí odkaz:
https://doaj.org/article/cf88abfe30db485fac287508f82dd1d3
Autor:
Michael Castelle
In this paper, I will argue for the relevance of certain distinctive features of messaging systems, namely those in which data (a) can be sent and received asynchronously, (b) can be sent to multiple simultaneous recipients and (c) is received as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7e6f8263c6d8a4c30f73318cce0fb55
http://wrap.warwick.ac.uk/131655/1/WRAP-middlewares_message-financial_technics_codata-philosophy_Castelle-2019.pdf
http://wrap.warwick.ac.uk/131655/1/WRAP-middlewares_message-financial_technics_codata-philosophy_Castelle-2019.pdf
Autor:
Michael Castelle, Jonathan Roberge
Publikováno v:
The Cultural Life of Machine Learning ISBN: 9783030562854
What is meant by a cultural life of machine learning (ML), and how can it be studied? How can one keep up with the rapid pace of ML’s technical development, while simultaneously offering analyses that “generalize” for the next generation? We pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b542524691636d636bfe47180d5b3eac
https://doi.org/10.1007/978-3-030-56286-1_1
https://doi.org/10.1007/978-3-030-56286-1_1
Autor:
Tyler Reigeluth, Michael Castelle
Publikováno v:
The Cultural Life of Machine Learning ISBN: 9783030562854
The Cultural Life of Machine Learning
The Cultural Life of Machine Learning, Springer International Publishing, pp.79-115, 2021, 978-3-030-56286-1. ⟨10.1007/978-3-030-56286-1_3⟩
The Cultural Life of Machine Learning
The Cultural Life of Machine Learning, Springer International Publishing, pp.79-115, 2021, 978-3-030-56286-1. ⟨10.1007/978-3-030-56286-1_3⟩
While theories of human learning have proliferated in the last century, machine learning is a rather less reflexive enterprise. What conception of learning do the techniques of machine learning—especially in its recent connectionist forms—imply o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe90b3d0791894b2080b078eee83b85
https://doi.org/10.1007/978-3-030-56286-1_3
https://doi.org/10.1007/978-3-030-56286-1_3
Autor:
Michael Castelle
Publikováno v:
FAT*
Generative adversarial networks (GANs) are a genre of deep learning model of significant practical and theoretical interest for their facility in producing photorealistic 'fake' images which are plausibly similar, but not identical, to a corpus of tr
Autor:
Jonathan Roberge, Michael Castelle
This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine l
Publikováno v:
Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda.
The automatic identification of propaganda has gained significance in recent years due to technological and social changes in the way news is generated and consumed. That this task can be addressed effectively using BERT, a powerful new architecture
Publikováno v:
Economy and Society. 45:166-200
The practices of high-frequency trading (HFT) are dependent on automated financial markets, especially those produced by securities exchanges electronically interconnected with competing exchanges. How did this infrastructural and organizational stat
Autor:
Michael Kohrman, Vernon L. Towle, Jean-Paul Spire, J. Christopher Edgar, Michael Castelle, Hyun Ah Yoon, Nadia M. Biassou, David M. Frim
Electrocorticographic (ECoG) spectral patterns obtained during language tasks from 12 epilepsy patients (age: 12-44 years) were analysed in order to identify and characterize cortical language areas. ECoG from 63 subdural electrodes (500 Hz/channel)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40cea0c8b322023bb1c6a424890399f5
https://europepmc.org/articles/PMC2724904/
https://europepmc.org/articles/PMC2724904/
Autor:
Vernon L. Towle, Hyun-Ah Yoon, Michael Castelle, J. Christopher Edgar, Nadia M. Biassou, David M. Frim, Jean-Paul Spire, Michael H. Kohrman
Publikováno v:
Brain: A Journal of Neurology; Aug2008, Vol. 131 Issue 8, p2013-2013, 1p