|Session||Communiqué Second Draft|
|Date/Time||May 10 2017 18:30 GMT|
|9:30am PDT/12:30pm EDT|
|5:30pm BST/6:30pm CEST|
Ontology Summit 2017 Communiqué Second Draft
Video Teleconference: https://bluejeans.com/768423137
Meeting ID: 768423137
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- Complete the communiqué
- Workshops at the symposium.
- Andrea Westerinen
- Bobbin Teegarden
- Christi Kapp
- Donna Fritzsche
- Gary Berg-Cross
- Gavin Matthews
- Jack Ring
- JongHo Shin
- Ken Baclawski
- Mike Bennett
- Ravi Sharma
- Todd Schneider
[12:32] ravisharma: notes 30 to 90 participants per session and 1000 downloads (Session C 1100+ and Second session higher.
[12:33] ravisharma: Notes: 455 views of Communique for 2016 summit
[12:36] ravisharma: Agenda for today: Communiques, Workshop, Donna sent examples.
[12:44] JackRing: The first paragraphs mention neural networks. There are now ways other than NN's so the paragraph should say "such as neural networks."
[12:48] ToddSchneider: Jack, could you elaborate?
[12:49] ravisharma: Notes: total downloads for all materials including 1000+ videoconference recordings for each track is in excess of 7000+
[12:54] Donna Fritzsche: ravi - can you email it to Ken?
[12:54] ravisharma: http://ontologforum.org/index.php/Summary_of_Tracks/sessions
[12:59] JackRing: Todd, e.g., Automata Processor www.naturalsemi.com Numenta, and currently classified machines that resolve multi-level conditional graphs.
[13:05] JackRing: Is this communique intended to focus on machine learning but not human (cohort) learning such as what has transpired in this cohort the past few months?
[13:07] Donna Fritzsche: Jack - definitely focusing on: AI, ML, Reasoning and Ontologies (the theme for the summit) - but that would not preclude human (cohort) learning as a topic in the communique. @Ken - do you want to address this question?
[13:09] Donna Fritzsche: @jack - last week Ken outlined his goals for the communique. Scroll down toward the bottom of this link for more info. http://ontologforum.org/index.php/OntologySummit2017_Communique
[13:13] gary berg-cross: Well I was thinking of using some material from my "Berg-Cross, Gary. "Introduction to Biological Inspiration for Intelligent Systems." Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems. ACM, 2008.
[13:20] JackRing: I think the 2017 Communique is going to be very popular relative to previous ones. Already seeing 3X increase in downloads. Expect 10X. Congratulations.
[13:29] KenBaclawski: @[13:05] JackRing: The summit theme does include human cohort learning but I don't recall that any of the sessions dealt with this. So we may have to omit it.
[13:30] BobbinTeegarden: Inclusion of electromagnetic spectrum concepts would be really interesting.
[13:32] JackRing: Is there any material on detecting tautologies?
[13:37] gary berg-cross: @Donna http://library.si.edu/exhibition/color-in-a-new-light At Natural History.
[13:40] BobbinTeegarden: DWDM Dense Wave Division Multiplexing for fibre optic transmissions are dicing the color spectrum into smaller and smaller color slices to squeeze out more and more data from a stream of light...
[13:41] Donna Fritzsche: @bobbin - thanks
[13:41] Donna Fritzsche: we can add that
[13:41] Donna Fritzsche: @gary - thanks, I had forgotten where it is.
[13:41] KenBaclawski: As an experiment, would someone try using the other bluejeans meeting https://bluejeans.com/863035730
[13:48] KenBaclawski: http://ontologforum.org/index.php/Ontology_Summit_2017_Workshops
[13:50] ToddSchneider: Human learning is implicit or a priori in AI and ontologies.
[13:50] gary berg-cross: The role of context demonstrates an aspect of human learning.
[13:52] KenBaclawski: @[13:05] JackRing: On second thought, it looks like we do cover this to some extent.
[13:52] MikeBennett: That is, what Artificial Intelligence is an artificial variant of.
[14:02] KenBaclawski: No meeting tomorrow of the organizational committee.
[14:03] ToddSchneider: Meeting ended 14:03 EDT
[14:03] Donna Fritzsche: thank-you everyone!
During the meeting some participants asked who was downloading the video recordings. I have the IP addresses of the requesters for all of the repository files. My software already eliminates insignificant requests, such as requests from bots as well as my own requests (which are for administrative purposes). Some IP addresses are repeated, but these are from "pool" IP addresses (such as Verizon, Comcast, and some large universities), so it is unlikely that they are all from the same person, although it might be worth investigating some of these IP addresses in more detail to make sure. The most commonly occurring IP address is 126.96.36.199 Universidade De Sao Paulo which occurs 2074 times. There are also many requests for non-existent files. There might be broken links somewhere, but I have not been able to track any of them down. The number of downloads of each file in the repository for the last year are shown at Download_Statistics