File:Structural and Temporal Information.webm

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Original file(WebM audio/video file, VP8/Vorbis, length 1 h 16 min 34 s, 1,280 × 720 pixels, 250 kbps overall, file size: 137.04 MB)

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English: The presentation by Wojciech Szpankowski, from Purdue University, is part of the Pathways to the 2023 IHP thematic project Random Processes in the Brain.

In this seminar, Szpankowski talks how the Shannon's information theory has served as a bedrock for advances in communication and storage systems over the past five decades. However, this theory does not handle well higher order structures (e.g., graphs, geometric structures), temporal aspects (e.g., real-time considerations), or semantics. We argue that these are essential aspects of data and information that underly a broad class of current and emerging data science applications. In this talk, we present some recent results on structural and temporal information. We first show how to extract temporal information in dynamic networks (arrival of nodes) from its structure (unlabeled graphs). We then proceed to establish fundamental limits on information content for some data structures, and present asymptotically optimal lossless compression algorithms achieving these limits for various graph models.

You can learn more about the Pathways to the 2023 IHP thematic project Random Processes in the Brain on this link: https://rpbihp.numec.prp.usp.br/index.php/Pathways_to_the_2023_IHP_thematic_program_Random_Processes_in_the_Brain
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Source https://www.youtube.com/watch?v=U0O2S4YttE8
Author CEPID NeuroMat

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RDCI NeuroMat

CC-BY-SA 4.0
This media was produced by NeuroMat and was licensed as Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).

Attribution in English: RIDC NeuroMat
Attribution in Portuguese: CEPID NeuroMat
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Attribution: RIDC NeuroMat
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Date/TimeThumbnailDimensionsUserComment
current23:38, 10 November 20221 h 16 min 34 s, 1,280 × 720 (137.04 MB)Thaismay (talk | contribs)Uploaded a work by CEPID NeuroMat from https://www.youtube.com/watch?v=U0O2S4YttE8 with UploadWizard

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Format Bitrate Download Status Encode time
VP9 720P 365 kbps Completed 00:23, 11 November 2022 44 min 45 s
Streaming 720p (VP9) Not ready Unknown status
VP9 480P 245 kbps Completed 00:23, 11 November 2022 45 min 27 s
Streaming 480p (VP9) Not ready Unknown status
VP9 360P 178 kbps Completed 00:03, 11 November 2022 24 min 50 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 145 kbps Completed 00:04, 11 November 2022 26 min 11 s
Streaming 240p (VP9) 39 kbps Completed 00:19, 17 December 2023 4.0 s
WebM 360P 275 kbps Completed 23:54, 10 November 2022 15 min 41 s
Streaming 144p (MJPEG) 834 kbps Completed 14:45, 19 November 2023 2 min 13 s
Stereo (Opus) 87 kbps Completed 00:51, 24 November 2023 1 min 4 s
Stereo (MP3) 128 kbps Completed 14:44, 19 November 2023 1 min 16 s

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