Immersing Cognitive Systems in New Media:

At Tangerine, we’re seeking a software company partner that shares our interest in two things:

  1. A Media Innovation Spec 

At Tangerine, my company since early 2016, I’ve conceptualized and specified a new set of innovations extending the concept of drawing-model fusion. Previously, and built from that concept, I have 3 patents (owned by my former employer) granted in my name (2015, 2016), for work commercialized in 2012. See examples shown here: Media Innovations (2012). The patents are listed here. I mention them because Tangerine’s new innovation spec makes these patents obsolete (rather, will, when implemented).

Tangerine’s media innovation spec develops, in a new way, the expression of the function of drawing (the act and articulation, I like to say, of “taking a closer look”), within models of any kind. I‘d like to share, with any company who wishes to develop it, the functional spec I’ve produced at Tangerine, a next-gen infusion of “drawing” and modeling. I discuss some of the concepts on Tangerine’s blog, here.

  1. Cognitive Computing Research

Tangerine proposes to research the relation between:

  • cognitive systems (like IBM Watson, and other machine intelligence platforms) and
  • new forms of spatial visual media that will follow from today’s hybridized multi-media, extended by Tangerine’s media innovation specification.

Tangerine Media (built on new innovations eclipsing earlier innovation) provides a richer field for human understanding, and, more fertile ground for the application of cognitive systems. Machine intelligence relies on detection of semantic continuity across diverse and otherwise disconnected units of information. Machine (and human) cognitive systems, if there is magic in them (yes there is), find, reveal, produce, generate… connection, correlation, between disparate things and fragments of information. In a highly complex, spatial, visual, data-heavy environment like the real world, and a job site full of people, actions, tasks, checks, and data of myriad types, cross-data type correlations, the fuel for cognitive systems, are not easy to reveal or detect. The evolution of media itself — through continued development of the concept of the fusion of spatial data (models), and the articulate act of “taking a closer look” (“drawing”) — is likely to make the detection of correlation (the fuel of cognition), across diverse, traditionally disconnected data types, more accessible to cognitive systems (like IBM Watson, and the Google machine intelligence equivalent).

Tangerine’s media innovation spec is logical, clear, simple, and immediately useful to anyone using models or drawings for anything, and in my opinion, inevitable. For those who can envision it, opportunity exists (partner with us!), ultimately, to pioneer a new category of media, which in terms of influence and significance, may turn out to be not unlike the fusion of sound into silent film 100 years ago. The changes are primary, fundamental, transformational.

In addition, these changes in media may contribute in the field of cognitive computing, providing cognitive systems a more fertile (more correlative) field of data to parse. The power of cognitive systems is the power to respond with useful answers to compound, and not-even-well-formed, open-ended questions that have no pre-defined answers. The media fusion that we can put into the hands of designers and builders everywhere as they think, act, and work, can produce a new kind of data environment, one in which the potential power of cognitive computing is more fully realized.

Version 2

 

3 thoughts on “Cognitive Computing

  1. Are you familiar with Computational Knowledge, Wolfram Alpha? I’m interested in developing BIM systems using Mathematica, and the Wolfram Language for Building Information Modeling. It’s a future goal. I like all the words in this post a lot.

    Liked by 1 person

  2. dsannes, thank you for your kind words. I’m not familiar with Wolfram but I’ve browsed their site a bit. They’re in the right space, that’s certain. Thanks for prompting me to look closer. Interesting idea you have. One of my projects that’s on hold and hasn’t gone past the initial setup yet is shown here https://youtu.be/M2d9WL1EEPM The idea was to use hand drawn sketches, which are automatically positioned in-situ within a digitized physical sketch model, as an armature that would drive the fleshing out of that sketch model as it evolves and develops through user interaction including user control/editing of the sketches. You could hook up grasshopper or something to this structure and away you go. Some more discussion here, this one narrated: https://youtu.be/2boL7m7ulq8

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    1. The idea is that this fusion of “drawing”(with drawing existing both as we know it now, and as we propose it will evolve in our media innovation spec) and modeling, … this fusion of drawing and modeling, begins as a fusion, evolves and unfolds/develops as a fusion, and remains a fusion throughout, from beginning to end. This means for example, that this older idea, from the 1980s/90s of “using models to automate drawings” whereby those two things are related but separate, that’s no longer the goal. Rather, the goal is full expression of the relevant concept: that a model is an environment, the purpose of which is to exist as host for the articulate expression of the act of taking a closer look, where a set of these acts are expressed within the model. The fusion is the purpose. This idea comes from the simple recognition that the purpose of media is to support thought, the development of thought, and its communication. Media is a place where we unfold our thoughts, develop them, and where readers see what we’re trying to show. Media is where we develop our thoughts and transfer them to others. Media is for seeing and understanding. As such, media itself should evolve, to better support that purpose. Fusion of “drawing” (as it evolves) and modeling is a key part of that I’m certain.

      In the videos of fusion I show in these comments, the videos show a fusion during early stages of design. That same fusion would evolve and develop through to technical communication, becoming more fleshed out, more detailed. It will move on from early sketch to solidified project. Which then would be constructed. During construction, the same fusion would continue evolving as different sets of users interact with the interplay between the narrowed focus of in-situ “drawing” and the modeled environment, while adding their own communications and acts of articulating that they are “taking a closer look” at this area or that and making something clear, thus, they’d be drawing as well, within the model… The fusion continues. The same holds true through the life of the asset. The people living in and operating the facility would continue interacting and authoring their own acts of “taking a closer look” so the fusion would continue to evolve, permanently, until the real world facility no longer exists.

      So this comes back to the point about cognitive systems.

      Machine intelligence relies on detection of semantic continuity across diverse and otherwise disconnected units of data. Machine (and human) cognitive systems find (reveal, produce or generate) connection/correlation between disparate things and fragments of information.

      The media fusion that we can put into the hands of designers and builders everywhere as they think, act, and work, can produce a new kind of data environment, one in which the potential power of cognitive computing is more fully realized.

      The fusion provides a more fertile field of correlation. A richer field in which the mind goes to work, where understanding grows, and so, supporting meaningful discourse, dialog, conversation between people and cognitive systems, conversations that can generate meaningful answers to hard questions.

      Like

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