we all agree that we are heading towards the attention economy, but what does the “architecture of attention” look like?To make the concept of attention compelling and to prove to the consumers that their attention information is important, we need to
we all agree that we are heading towards the attention economy, but what does the “architecture of attention” look like?To make the concept of attention compelling and to prove to the consumers that their attention information is important, we need to
Splicing information and social relations to suite the needs of different situations is increasingly important. The fields of learning and development have not yet been transformed to the online environment. The combination of learning/knowledge analytics, data visualization, and activity streams provide, I think, a sufficient basis for educators to begin planning for a post-course view of education.
Ampakines capable of improving cognition by enhancing brain activity under normal circumstances may also have the potential to reduce the harmful or unwanted effects of sleep deprivation. (CX717 by Cortex Pharmaceuticals)
Using RhNav - Rhizome Navigation I wrote a data aggregator for Technorati's API. The first result is a video which visualizes blog domains by analysing Technorati's Cosmos (the blogs which link to a particular URL). The video is a screencast of RhNav fetc
APML allows users to share their own personal Attention Profile in much the same way that OPML allows the exchange of reading lists between News Readers.
APML will allow users to export and use their own personal Attention Profile in much the same way that OPML allows them to export their reading lists from Feed Readers. The idea is to boil down all forms of Attention Data – including Browser History,
APML will allow users to export and use their own personal Attention Profile in much the same way that OPML allows them to export their reading lists from Feed Readers. The idea is to boil down all forms of Attention Data – including Browser History,
Y. Qin, D. Song, H. Chen, W. Cheng, G. Jiang, und G. Cottrell. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, (August 2017)
K. Friston, J. Kilner, und L. Harrison. Journal of Physiology-Paris, 100 (1-3):
70--87(2006)Theoretical and Computational Neuroscience: Understanding Brain Functions.
J. Tan, X. Wan, und J. Xiao. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1, Seite 1171--1181. (2017)