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jaihobah

New Theory Cracks Open the Black Box of Deep Learning - 0 views

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    A new idea called the "information bottleneck" is helping to explain the puzzling success of today's artificial-intelligence algorithms - and might also explain how human brains learn.
jaihobah

A Brain Built From Atomic Switches Can Learn - 0 views

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    A tiny self-organized mesh full of artificial synapses recalls its experiences and can solve simple problems. Its inventors hope it points the way to devices that match the brain's energy-efficient computing prowess.
Wiktor Piotrowski

Harnessing evolutionary creativity: evolving soft-bodied animats in simulated physical ... - 0 views

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    Papers in the video description
jaihobah

Emergence of Locomotion Behaviours in Rich Environments - 1 views

shared by jaihobah on 11 Jul 17 - No Cached
jcunha liked it
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    Some work by DeepMind on applying reinforcement learning to teach a computer to navigate complex environments. Come for the science - stay for the video: https://goo.gl/8rTx2F
Dario Izzo

How the Space Pope is helping to find real exoplanets by playing Eve: Online | Ars Tech... - 0 views

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    serious gaming came back!
Paul N

Google's AI has learned how to draw by looking at your doodles - 0 views

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    "To create Sketch-RNN, Google Brain researchers David Ha and Douglas Eck collected more than five million user-drawn sketches from the Google tool Quick, Draw! Each time a user drew something on the app, it recorded not only the final image, but also the order and direction of every pen stroke used to make it. The resulting data gives a more complete picture (ho, ho, ho) of how we really draw."

    It's funny because this David Ha used to be a quant banker ha ha
Paul N

A look at deep learning for science - 0 views

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    Scientific use cases show promise, but challenges remain for complex data analytics.
Alexander Wittig

Google AI experiment: fast drawing for everyone - 0 views

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    AutoDraw is a new kind of drawing tool. It pairs machine learning with drawings from talented artists to help everyone create anything visual, fast. There's nothing to download. Nothing to pay for. And it works anywhere: smartphone, tablet, laptop, desktop, etc.

    AutoDraw's suggestion tool uses the same technology used in QuickDraw, to guess what you're trying to draw. Right now, it can guess hundreds of drawings and we look forward to adding more over time. If you are interested in creating drawings for others to use with AutoDraw, contact us here.

    We hope AutoDraw will help make drawing and creating a little more accessible and fun for everyone.
jcunha

New rules for robots backed by European Parliament committee - 1 views

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    The European Parliament's Legal Affairs Committee voted in favour of a resolution calling for new laws addressing robotics and artificial intelligence (AI) to be set out to sit alongside a new voluntary ethical conduct code that would apply to developers and designers.
johannessimon81

memristor-brain | University of Southampton - 3 views

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    Memristor-Based Artificial Neural Networks, huge potential for true, high-power AI
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    Memristors (for memory purposes - RRAM type) on the pipeline to be launched in orbit on a cubesat
    http://thewhitonline.com/2016/03/news/nasa-initiative-chooses-rowan-to-launch-satellite/
Luís F. Simões

The AI Revolution: Why Deep Learning Is Suddenly Changing Your Life - 1 views

  • Indeed, corporations just may have reached another inflection point. “In the past,” says Andrew Ng, chief scientist at Baidu Research, “a lot of S&P 500 CEOs wished they had started thinking sooner than they did about their Internet strategy. I think five years from now there will be a number of S&P 500 CEOs that will wish they’d started thinking earlier about their AI strategy.”

    Even the Internet metaphor doesn’t do justice to what AI with deep learning will mean, in Ng’s view. “AI is the new electricity,” he says. “Just as 100 years ago electricity transformed industry after industry, AI will now do the same.”

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    A good historical overview of the Deep Learning revolution.
    If you think the quote above is an exageration, here are some fresh news from Microsoft: Internal email: Microsoft forms new 5,000-person AI division
johannessimon81

IBM Neuromorphic chip hits DARPA milestone and has been used to implement deep learning - 2 views

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    "IBM delivered on the DARPA SyNAPSE project with a one million neuron brain-inspired processor. The chip consumes merely 70 milliwatts, and is capable of 46 billion synaptic operations per second, per watt-literally a synaptic supercomputer in your palm." --- No memristors..., yet.: https://www.technologyreview.com/s/537211/a-better-way-to-build-brain-inspired-chips/
johannessimon81

Hinton - Stanford Seminar - Can the brain do back-propagation? - 2 views

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    Very interesting presentation on how the brain can back-propagate error signals during learning (using time-derivatives to encode errors). Hinton discusses how back-propagation can be achieved with very limited / unsophisticated tools and in excessively noise environments.
johannessimon81

The Neural Network Zoo - The Asimov Institute (...love that name!) - 2 views

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    Cute info-graphics on different machine learning architectures
Dario Izzo

Stacked Approximated Regression Machine: A Simple Deep Learning Approach - 5 views

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    from one of the reddit threads discussing this:

    "bit fishy, crazy if real".

    "Incredible claims:
    - Train only using about 10% of imagenet-12, i.e. around 120k images (i.e. they use 6k images per arm)
    - get to the same or better accuracy as the equivalent VGG net
    - Training is not via backprop but more simpler PCA + Sparsity regime (see section 4.1), shouldn't take more than 10 hours just on CPU probably "
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    clicking the link says the manuscript was withdrawn :))
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    This "one-shot learning" paper by Googe Deepmind also claims to be able to learn from very few training data.
    Thought it might be interesting for you guys: https://arxiv.org/pdf/1605.06065v1.pdf
jaihobah

A $2 Billion Chip to Accelerate Artificial Intelligence - 1 views

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    Got $129,000?
Dario Izzo

Microsoft terminates its Tay AI chatbot after she turns into a Nazi - 2 views

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    Super LOL for AI !!!!
jcunha

IBM Watson: The inside story of how the Jeopardy-winning supercomputer was born, and wh... - 0 views

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    A nice read.
    IBM Watson wowed the tech industry with a 2011 win against two of television show Jeopardy greatest champions.
    Using something that seemed like a sort of tree search for me IBM DeepQA algorithm managed to ingest sparse data (clues), process it getting one answer, understand what that answer means and come up with the question that leads to that answer.
    Now, IBM tells us that the same system can tackle medical diagnosis and financial risk problems.
jaihobah

Phys. Rev. Lett. 116, 090405 (2016) - Automated Search for new Quantum Experiments - 1 views

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    I posted the same thing on 23/02/2016, with arxiv version of the paper instead.
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    uhhhh, Jai got scooped on Diigo :D
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    since double posted, maybe double interesting and we should have a closer look? anybody?
Carlos Sánchez

AI and The Future Of Civilization - 1 views

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    What makes us different is the particulars of our history, which gives us our notions of purpose and goals. That's a long way of saying when we have the box on the desk that thinks as well as any brain does, the thing it doesn't have, intrinsically, is the goals and purposes that we have. Those are defined by our particulars-our particular biology, our particular psychology, our particular cultural history.

    The thing we have to think about as we think about the future of these things is the goals. That's what humans contribute, that's what our civilization contributes-execution of those goals; that's what we can increasingly automate.
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