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Samuel Kenyon
Works at GnuBIO
Attended Northeastern University
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Samuel Kenyon

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Discussion  - 
 
 
I am pleased to announce a new paper called “Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images,” written by +Anh Nguyen, myself, and +Jeff Clune.

http://arxiv.org/abs/1412.1897

Trained neural nets "see" the world in a different way than humans; this disparity has been the topic of a few recent papers. Here we further investigate these differences and along the way come up with two potentially useful methods for visualizing what supervised neural nets are really looking for.

Both methods use optimization to find images that cause high activations, but with different priors in image space. One directly regularizes to explore parts of image space that contain less high-frequency information, and another employs a genetic algorithm with a strong direct bias towards images exhibiting compositionality. This latter method produces fooling images of a completely different character than have previously been found, almost looking like abstract art!

Congratulations to Anh on a great paper!
Abstract: Deep neural networks (DNNs) have recently been achieving state-of-the-art performance on a variety of pattern-recognition tasks, most notably visual classification problems. Given that DNNs are now able to classify objects in images with near-human-level performance, ...
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I look forward to digging into this over the break.  Off the cuff, I agree with +Ben Bogart that understanding the distinction between generative systems, like cognition, and discriminative systems is a good way forward in either disciplines.
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Samuel Kenyon
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Discussion  - 
 
I apologize for not keeping this group active; I have been busy with many projects. Currently I'm in post production on a film (http://dromefiles.tumblr.com/) aside from my day job.

I think this group could expand, but we'll need some more moderators.
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+John Newman
You are now a moderator.
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Samuel Kenyon

Introduce your Start-up  - 
 
My startup is called Glug. It's a booze ordering website for local delivery in Boston, with options for planning ahead (instead of same-day) and recurring orders. http://goglug.com/
Marketplace for alcoholic beverage ordering and local delivery.
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Samuel Kenyon

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A little startup I'm working on (an interface to order booze online):
http://goglug.com/
Marketplace for alcoholic beverage ordering and local delivery.
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Samuel Kenyon
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Cognitive Architectures  - 
 
http://synapticnulship.com/blog/2014/07/19/cognitive-abstraction-manifolds/

"One might imagine that a stack of enough layers at different levels will provide a full model and/or implementation of the human mind. Even if the layers overlap, one just needs full coverage—and small gaps presumably will lend themselves to obvious filler layers.

For instance, you might say one layer is the Surfaces and Essences analogy engine, and another layer deals with consciousness, another with vision processing, another with body motion control, and so on.

But it’s not that easy (I know, I know…that’s pretty much the mantra of skeptical cognitive science).

I think a slice of abstraction space is probably more like a manifold or some other arbitrary n-dimensional space. And yes, this is an analogy.

These manifolds could be thought of—yay, another analogy!–as 3D blobs, which on this page will be represented as a 2D pixmap (see the lava lamp image)."
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As for the theoretical part of my work, I think the future research be looking at the relation between association / analogy and simulation and prediction. I think its possible that many of the operations we attribute to analogy could be the result of simulation. Even integrating them into a single coherent system. Prediction / simulation as proximity in time and space, while analogy being proximity in feature space. Actually, not really feature space, because features could be differently emphasized depending on the context, I suppose that would be a conceptual space.
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Samuel Kenyon
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Cognitive Architectures  - 
 
And from Aaron Sloman:
Judging Chatbots Without Opening Them
Yet another comment relating to the (mythical) "Turing Test"
for intelligence.

http://www.cs.bham.ac.uk/research/projects/cogaff/misc/black-box-tests.html
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Samuel Kenyon

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Enough to be Dangerous - Trailer
https://vimeo.com/120666161

#short #film #mystery #crime #robots  
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Samuel Kenyon

Introduce your startup  - 
 
http://goglug.com
 
My startup is Glug, a booze ordering website for local delivery in the Boston MA area, with options for planning ahead (instead of same-day) and recurring orders.

Suggestions are welcome (even if you're not in the Greater Boston area).
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Cognitive Science  - 
 
In psychology you can come up with all manner of theories and analogies to explain how parts of the mind work. I suspect some psychological theories, which are often in parallel ideas for AI cognitive architectures,  can be easily misunderstood and misplaced.

In other words, people want simple explanations, one-ring-to-rule-them all theories...at most just a couple of layers. Scientists, I think, often fall into camps which want to explain as much as possible within their domain, and often within a very narrow fad in that domain.

This essay is my attempt to explicate a way of thinking about psychological / cog arch theories in concept space.

http://synapticnulship.com/blog/2014/07/19/cognitive-abstraction-manifolds/

or if you prefer a white background:
http://www.science20.com/in_the_eye_of_the_brainstorm/blog/cognitive_abstraction_manifolds-140912
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Have him in circles
480 people
Aldo Morales's profile photo
Amanda Louchart's profile photo
Atom Bot's profile photo
Никита Бойков's profile photo
Sascha Oppermann's profile photo
J. Toby Knudsen's profile photo
Vladimir Šijan's profile photo
Zhi Wei Chong's profile photo
andreas harafera's profile photo
Work
Occupation
software engineer
Skills
C++, iterative development, mobile robotics, backends, graphics / games / desktop UIs, wearable UIs, embedded systems
Employment
  • GnuBIO
    2014 - present
  • Basis Technology Corp.
    software engineer, 2012 - 2014
  • iRobot Corp.
    software engineer, 2005 - 2012
  • MIT Lincoln Laboratory
    intern, 2003 - 2003
  • Charles River Analytics
    intern, 2004 - 2004
  • DEKA
    intern, 2002 - 2002
Basic Information
Gender
Male
Story
Tagline
☛ AI ☛ robots ☛ UX ☛ software dev
Introduction
I am researching artificial intelligence / computational intelligence, especially cognitive architectures for situated embodied creatures. You might say I'm an "amateur" researcher since I don't get paid for it and I am not currently in academia.

My formal education in AI includes undergrad Artificial Intelligence (Northeastern University), Society of Mind / Emotion Machine taught by Marvin Minsky (MIT), Commonsense Reasoning for Interactive Applications taught by Henry Lieberman (MIT), and Cognitive Architectures advised/taught by Whitman Richards (MIT). I attended Ray Solomonoff's IAP lectures at MIT in 2005. I've also had interesting discussions with Aaron Sloman, Rod Brooks, and the late Push Singh (mostly 2005-2006).

I have built and/or worked on several mobile robots (ground and underwater) ranging from autonomous to teleoperated. My day job is programming and interaction design.

Member of AAAI, IEEE, IEEE Computational Intelligence Society, IEEE Robotics & Automation Society, ACM, SIGAI.

I am also an actor and screenwriter.
Bragging rights
Lead the release of many versions of production software for a successful iRobot robot series. Improved the state of the art in wearable HRI for teleoperated recon robots circa 2007.
Education
  • Northeastern University
    BS
  • Massachusetts Institute of Technology
    Graduate special student (not a degree program)
    Cognitive Architectures Research (9.364) Commonsense Reasoning for Interactive Applications (MAS.969) Society of Mind / The Emotion Machine (6.868)
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