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    OpenCog Foundation, SingularityNET and TrueAGI are hosting a 2-day online event aimed at spreading the word about some of the interesting things currently being done with the OpenCog proto-AGI platform and toolset — and some of the future possibilities under current discussion, including the potential implementation of new and substantially different versions of core components.
     
    OpenCogCon will be broadcast live on YouTube, sign up for Zoom room access here, or sign up here for event update emails including URLs for the livestream.
     
    YOUTUBE VIEWING LINKS:
     
    EVENT MOTIVATION
     
    AI technology has advanced a long way since 2008 when OpenCog was founded, and our collective understanding of the AGI problem has advanced as well.   AGI has also become big business with the advent of projects like Google Deep Mind and OpenAI.   However, the best of today’s practical AI systems still fall very far short of human minds in terms of general intelligence.   
     
    The researchers and developers behind the OpenCog project believe that the OpenCog approach — a dynamic, weighed/labeled generalized-hypergraph knowledge store synergetically acted on by multiple AI algorithms designed according to multiple AI paradigms, acting according to a shared formal semantics and within a well-designed cognitive architecture — is fit to serve as the core of a workable approach to AGI at the human level and beyond.
     
    If this is correct, it is amazing — but even if so, there is a lot of work required to get from here to there.   This OpenCogCon event aims to present some insights into where we are now with OpenCog — and what may make sense for us to do next, to most effectively and rapidly make the leap from our current position toward true AGI.
     
    AUDIENCE
     
    We are actively reaching out to AI researchers and developers passionate to help create beneficial AGI — hoping to initiate a new phase of OpenCog development by bringing in more brilliant minds and more practical energy.   
     
    We are also aiming to spread the word to anyone else who is interested in AGI and willing to put up with a global cabal of geeks spouting a complex mix of software, math, cognitive science and computer science!
     
    EVENT MECHANICS

    The event will be streamed live to YouTube via the URLs above. Q&A will be enabled for all viewers via YouTube comments.
     
    A limited number of qualified participants will also be able to join the Zoom room being used by the speakers and panelists, and participate in Q&A and panel discussions directly via video-chat.   A form allowing you to request a spot in the event Zoom room will be posted here shortly.
     
    TENTATIVE SCHEDULE
    (All times US Pacific)
     
    WED JULY 15
     
    Keynote
    • 8AM – 9AM – Ben Goertzel, OpenCog: Core Concepts and Future Potentials

    Session 1: OpenCog for Bio-AI

    This session will discuss some recent work done in the SingularityNET AI team, using OpenCog for some exploratory R&D related to ML analysis of genomic data.   This is not at all the only OpenCog application currently being worked on, but it’s one of them, and it’s interesting both for its practical value and as a way of concretely fleshing out various general aspects of OpenCog-style AI.

    • 9AM-9:45AM,  Mike Duncan, The BioAtomspace
    • 9:45AM – 10:30AM, Deborah Duong and Man Hin Leung, Neural Graph Embedding on the BioAtomspace
    • 10:30AM – 11:15AM, Nil Geisweiller, Probabilistic Logic for Interpretation of Genomic ML Analysis Results
    • 11:15AM – 12PM Panel Discussion on OpenCog for Bio-AI 
    Keynote
    • 12PM-1PM – Linas Vepstas,  Thinking about the AtomSpace: Knowledge Representation with Graphs
    THURS JULY 16
     
    Session 2: OpenCog: The Next Generation
     
    This session presents some thought and discussion currently underway in the SingularityNET / TrueAGI AI team, regarding a potential major revision of the OpenCog software system.   Among other things, it is an invitation for event participants to contribute their ideas, insights, wisdom, experience and creativity to this “Next Generation OpenCog” initiative at its formative stage.
     
    Some thoughts related to this session are in this preliminary brainstorming document.
    • 8:30AM- 9:15AM, Ben Goertzel, Tentative Sketch of a Next-Generation OpenCog Architecture
    • 9:15AM – 10:30AM, Alexey Potapov, Thoughts on Atomese 2
    • 10:30AM – 11:15AM, Cassio Pennachin, Toward a Distributed Atomspace
    • 11:15AM – 12:00PM, Nil Geisweiller and Kasim Ibrahim, Putting Evolutionary Learning in Atomspace
    • 12:00PM – 1PM, Panel Discussion on OpenCog Future Potentials— panelists: Ben Goertzel, Alexey Potapov, Nil Geisweiler, Cassio Pennachin, TBA
     
    This entry was posted on Tuesday, July 7th, 2020 at 5:56 am and is filed under News. You can follow any responses to this entry through the RSS 2.0 feed. You can skip to the end and leave a response. Pinging is currently not allowed.

    News

    Posted on July 7th, 2020

    Written by Ben Goertzel

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  • 3 Comments

    Take a look at some of the responses we have had to this article.

    1. Abby Seneor
      Jul 7th
      Reply

      Hi,
      I’d love to get access to the event but it seems like the google form is restricted.
      Is there any other way to register to this event?
      Thanks,
      Abby

    2. Angel Ramirez
      Jul 12th
      Reply

      Fascinating! Definitely very much interested in knowing more about how the OpenCog architecture is developing. I’ve been trying to collaborate, but it’s indeed a very complex system.

    3. Tylor
      Jul 27th
      Reply

      Hello,

      I am a grad student at UConn for neuroscience, I’ve recently become interested in some of Dr. Goertzel’s writings and talks. However, I have little introduction to AI overall outside of minor exposure to neural networks so far. I’m wondering what books/research you might recommend to gain the background knowledge so I might explore this interest further.

      Thank you for your time and consideration!

      Best,
      Tylor

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