The demand for Generative AI in Media and Entertainment Market size is expected to register USD 1,412.7 million by 2023. It is anticipated to showcase a steady CAGR of 26.3% between 2023 and 2032. Sales of generative AI in media and entertainment will likely register USD 11,570.0 million by 2032. Revenue stood at USD 1,158.5 million in 2022.
I've seen a race of electronically linked humanoids who share information in a vast decentralized net to which they all have access; who see data as a kind of neutral atmosphere, like air; who use technology to share thoughts and impressions at all times; who are never out of contact with one another; and who react to the briefest removal from their shared consciousness with an itchy, frantic eagerness (cf. "Hugh") to get back.
Existem diversas maneiras de visualizar as informações que circulam pelo Twitter. As formas aqui listadas foram subdivididas em quatro categorias: rede
Without much surprise there has been significant movement within some of the social networks over the course of the last year. Brian Chappell from Ignite Social Media has put together a comprehensive report based on data from all major social networks existing on the web.
Let's explore how the lower cognitive cost of tagging makes it popular...From my first encounter with tagging (on systems such as del.icio.us & flickr), I could feel how easy it was to tag. But it took me a while to understand the cognitive processes at w
Let's explore how the lower cognitive cost of tagging makes it popular...From my first encounter with tagging (on systems such as del.icio.us & flickr), I could feel how easy it was to tag. But it took me a while to understand the cognitive processes at w
Textuality is often thought of in linguistic terms; for instance, the talk and writing that circulate in the classroom. In this paper I take a multimodal perspective on textuality and context. I draw on illustrative examples from school Science and English to examine how image, colour, gesture, gaze, posture and movement—as well as writing and speech—are mobilized and orchestrated by teachers and students, and how this shapes learning contexts. Throughout the paper I discuss the issues raised by a multimodal perspective for the conceptualization of text and learning context, and how this approach can contribute to learning and pedagogy more generally. I suggest that attending to the full ensemble of communicative modes involved in learning contexts enables a richer view of the complex ways in which curriculum knowledge (and policy) is mediated and articulated through classroom practices.
The 451 Group is an independent technology-industry analyst company that was founded in 2000, and has offices in the US and Europe. Our research makes sense of swiftly moving trends in the industry creating information technologies (IT) used by large and midsized organizations.
This paper provides a summary account of Activity-Centred Analysis and Design (ACAD). ACAD offers a practical approach to analysing complex learning situations, in a way that can generate knowledge that is reusable in subsequent (re)design work. ACAD has been developed over the last two decades. It has been tested and refined through collaborative analyses of a large number of complex learning situations and through research studies involving experienced and inexperienced design teams. The paper offers a definition and high level description of ACAD and goes on to explain the underlying motivation. The paper also provides an overview of two current areas of development in ACAD: the creation of explicit design rationales and the ACAD toolkit for collaborative design meetings. As well as providing some ideas that can help teachers, design teams and others discuss and agree on their working methods, ACAD has implications for some broader issues in educational technology research and development. It questions some deep assumptions about the framing of research and design thinking, in the hope that fresh ideas may be useful to people involved in leadership and advocacy roles in the field.
AFNI (which might be an acronym for Analyis of Functional NeuroImages) is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity. It runs on Unix X11 Motif systems, including
AFNI (which might be an acronym for Analyis of Functional NeuroImages) is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity. It runs on Unix+X11+Motif systems, including
Agna is a freeware application designed for social network analysis, sociometry and sequential analysis. Platform-independent, friendly and easy-to-learn, integrated visual network editor, html output, free.
Amenaza Technologies has created SecurITree, the best attack tree (threat tree) risk assessment tool and methodology designed to identify security risks
This paper describes a methodology for the analysis of classroom talk, called socio-cultural discourse analysis, which focuses on the use of language as a social mode of thinking – a tool for teaching-and-learning, constructing knowledge, creating joint understanding and tackling problems collaboratively. Its application involves a combination of qualitative and quantitative methods and enables the study of both educational processes and learning outcomes
S. Tartir, I. Arpinar, M. Moore, A. Sheth, und B. Aleman-Meza. Proceedings of IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources, (2005)
A. Popescu, B. Nguyen, und O. Etzioni. Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, Seite 32--33. Vancouver, British Columbia, Canada, Association for Computational Linguistics, (Oktober 2005)
D. Evans, L. Ku, Y. Seki, H. Chen, und N. Kando. Proceedings of the Workshop on Cross-Language Information Processing, Volume 4578 (Applications of Fuzzy Sets Theory) von Lecture Notes in Computer Science, Seite 456--463. (2007)
L. Dini, und G. Mazzini. Proceedings of the Conference on Data Mining Methods and Databases
for Engineering, Finance and Other Fields (Data Mining), Seite 299--310. (2002)
N. Kobayashi, R. Iida, K. Inui, und Y. Matsumoto. Proceedings of the 2nd International Joint Conference on Natural
Language Processing (IJCNLP-05), poster, Seite 175-180. (2005)
L. Ku, Y. Liang, und H. Chen. Proceedings of the AAAI Spring Symposium on Computational Approaches
to Analyzing Weblogs (AAAI-CAAW-06), Stanford, California, (2006)
K. Tateishi, Y. Ishiguro, und T. Fukushima. Information Processing Society of Japan (IPSJ) SIG Notes, 2001 (69(20010716)):
75--82(2001)Also cited as ``A reputation search engine that gathers people's
opinions from the Internet'', IPSJ Technical Report NL-14411. In
Japanese..
J. Conrad, und F. Schilder. Proceedings of the International Conference on Artificial Intelligence
and Law (ICAIL), Seite 231--236. New York, NY, USA, ACM, (2007)
N. Kobayashi, R. Iida, K. Inui, und Y. Matsumoto. Proceedings of AAAI 2006 Spring Sympoia on Computational Approaches
to Analyzing Weblogs (AAAI-CAAW 2006), (2006)
A. Ghose, P. Ipeirotis, und A. Sundararajan. Proceedings of the 45th Annual Meeting of the Association of Computational
Linguistics, Seite 416--423. Prague, Czech Republic, Association for Computational Linguistics, (Juni 2007)
W. Jin, H. Ho, und R. Srihari. Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, Seite 1195--1204. New York, NY, USA, ACM, (2009)
K. Ganesan, C. Zhai, und J. Han. Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), Seite 340--348. Beijing, China, Coling 2010 Organizing Committee, (August 2010)
K. Ganesan, C. Zhai, und J. Han. Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), Seite 340--348. Beijing, China, Coling 2010 Organizing Committee, (August 2010)
J. Yang, und J. Leskovec. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, Seite 587--596. New York, NY, USA, ACM, (2013)
Y. Seki, D. Evans, L. Ku, H. Chen, N. Kando, und C. Lin. Proceedings of the Workshop Meeting of the National Institute of
Informatics (NII) Test Collection for Information Retrieval Systems
(NTCIR), Seite 265--278. (2007)
A. Esuli, und F. Sebastiani. Proceedings of the 45th Annual Meeting of the Association of Computational
Linguistics, Seite 424--431. Prague, Czech Republic, Association for Computational Linguistics, (Juni 2007)