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anonymous

Soft Robotics Toolkit - 0 views

softroboticstoolkit.com

robotics INF AI BIO toolkit technology

shared by anonymous on 24 Sep 14 - No Cached
  • anonymous on 24 Sep 14
     
    Interesting toolkit/resources page for actual creation of soft robots.
Luís F. Simões

The accidental roboticist - 1 views

www.sciencemag.org/...192.full

BIO AI INF robotics evolution

shared by Luís F. Simões on 10 Oct 14 - No Cached
  • Luís F. Simões on 10 Oct 14
     
    Evolutionary Robotics, as practised by biologists. Here's the link to John Long's book, mentioned in the article: Darwin's Devices: What Evolving Robots Can Teach Us About the History of Life and the Future of Technology http://www.amazon.com/dp/B007QXVRZG/
jcunha

Training and operation of an integrated neural network based on memristors - 0 views

www.nature.com/...nature14441.html

NAN science technology memristor AI neuromorphic

shared by jcunha on 07 May 15 - No Cached
LeopoldS liked it
  • jcunha on 07 May 15
     
    Almost in time for the workshop last week! This new Nature paper (e-mail me for full paper) claims training and usage of neural network implemented with metal-oxide memristors, without selector CMOS. They used it to implement a delta-rule algorithm for classification of 3x3 pixel black and white letters. Very impressive work!!!!
  • jcunha on 07 May 15
     
    For those not that much into the topic, see the Nature's News and View section www.nature.com/nature/journal/v521/n7550/full/521037a.html?WT.ec_id=NATURE-20150507 where they feature this article.
johannessimon81

IBM Speech Recognition, 1986 - 0 views

www.wired.com/...bms-speech-savvy-computer-1986

AI technology

shared by johannessimon81 on 09 Nov 13 - No Cached
  • johannessimon81 on 09 Nov 13
     
    Interesting historical perspective. Progress since the late '80 really seems to be fairly slow. ?: Do we need to wait for the singularity until speech recognition works without flaws?
  • ...1 more comment...
  • LeopoldS on 09 Nov 13
     
    funny - tried just yesterday the one built in on mavericks: sending one email took three times as long at least as typing it And now my speech PowerPoint Funny, trade trust yesterday they're built in speech recognition in Mavericks sending one e-mail to at least three times a talk as long as typing it. Well this was actually quite okay and relatively fast cheers nice evening
  • johannessimon81 on 13 Nov 13
     
    "I thought I would give it a try on my android sexy seems to work pretty well and I'm speaking more less at normal speed" Actually I was speaking as fast as I could because it was for the google search input - if you make a pause it will think you finished your input and start the query. Also you might notice that Android thinks it is "android sexy" - this was meant to be "on my Android. THIS seems to work...". Still it is not too bad - maybe in a year or two they have it working. Of course it might also be that I just use the word "sexy" randomly... :-\
  • Paul N on 13 Nov 13
     
    The problem is that we don't yet understand how speech in humans actually works. As long as we merely build either inference or statistical language models we'll never get perfect speech recognition. A lot of recognition in humans has a predictive/expectational basis to it that stems from our understanding of higher lvl concepts and context awareness. Sadly I suspect that as long as machines remain unembodied in their perceptual abilities their ability to either properly recognize sounds/speech or objects and other features will never reach perfection.
Alexander Wittig

Picture This: NVIDIA GPUs Sort Through Tens of Millions of Flickr Photos - 2 views

blogs.nvidia.com/...flickr

AI

shared by Alexander Wittig on 21 Jul 15 - No Cached
LeopoldS liked it
  • Alexander Wittig on 21 Jul 15
     
    Strange and exotic cityscapes. Desolate wilderness areas. Dogs that look like wookies. Flickr, one of the world's largest photo sharing services, sees it all. And, now, Flickr's image recognition technology can categorize more than 11 billion photos like these. And it does it automatically. It's called "Magic View." Magical deep learning! Buzzword attack!
  • ...4 more comments...
  • LeopoldS on 21 Jul 15
     
    and here comes my standard question: how can we use this for space? fast detection of natural disasters onboard?
  • Alexander Wittig on 22 Jul 15
     
    Even on ground. You could for example teach it what nuclear reactors or missiles or other weapons you don't want look like on satellite pictures and automatically scan the world for them (basically replacing intelligence analysts).
  • Alexander Wittig on 23 Jul 15
     
    In fact, I think this could make a nice ACT project: counting seals from satellite imagery is an actual (and quite recent) thing: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092613 In this publication they did it manually from a GeoEye 1 b/w image, which sounds quite tedious. Maybe one can train one of those image recognition algorithms to do it automatically. Or maybe it's a bit easier to count larger things, like elephants (also a thing).
  • jcunha on 23 Jul 15
     
    In HiPEAC (High Performance, embedded architecture and computation) conference I attended in the beginning of this year there was a big trend of CUDA GPU vs FPGA for hardware accelerated image processing. Most of it orbitting around discussing who was faster and cheaper with people from NVIDIA in one side and people from Xilinx and Intel in the other. I remember of talking with an IBM scientist working on hardware accelerated data processing working together with the Radio telescope institute in Netherlands about the solution where they working on (GPU CUDA). I gathered that NVIDIA GPU suits best in applications that somehow do not rely in hardware, having the advantage of being programmed in a 'easy' way accessible to a scientist. FPGA's are highly reliable components with the advantage of being available in radhard versions, but requiring specific knowledge of physical circuit design and tailored 'harsh' programming languages. I don't know what is the level of rad hardness in NVIDIA's GPUs... Therefore FPGAs are indeed the standard choice for image processing in space missions (a talk with the microelectronics department guys could expand on this), whereas GPUs are currently used in some ground based (radio astronomy or other types of telescopes). I think that on for a specific purpose as the one you mentioned, this FPGA vs GPU should be assessed first before going further.
  • Paul N on 29 Jul 15
     
    You're forgetting power usage. GPUs need 1000 hamster wheels worth of power while FPGAs can run on a potato. Since space applications are highly power limited, putting any kind of GPU monster in orbit or on a rover is failed idea from the start. Also in FPGAs if a gate burns out from radiation you can just reprogram around it. Looking for seals offline in high res images is indeed definitely a GPU task.... for now.
  • jcunha on 31 Jul 15
     
    The discussion of how to make FPGA hardware acceleration solutions easier to use for the 'layman' is starting btw http://reconfigurablecomputing4themasses.net/.
alekenolte

Research Blog: Inceptionism: Going Deeper into Neural Networks - 0 views

googleresearch.blogspot.de/...-going-deeper-into-neural.html

FUN AI

shared by alekenolte on 18 Jun 15 - No Cached
  • alekenolte on 18 Jun 15
     
    Deep neural networks "dreaming" psychedelic images
  • ...3 more comments...
  • Paul N on 25 Jun 15
     
    Although that's not technically correct. The networks don't actually generate the images, rather the features that get triggered in the network already get amplified through some heuristic. Still fun tho`
  • Paul N on 25 Jun 15
     
    Now in real time: http://www.twitch.tv/317070
  • alekenolte on 26 Jun 15
     
    Yes, true for the later images, but for the first images they start with random noise and a 'natural image' prior, no? But I guess calling it "hallucinating" might have been more accurate ;)
  • Luís F. Simões on 02 Jul 15
  • Paul N on 08 Jul 15
     
    Funny how representation errors in NNs suddenly become art. God.... neo-post-modernism.
Juxi Leitner

Robots to the Rescue!: JPL's RoboSimian and Surrogate Robots are here to Help - 3 views

www.jpl.nasa.gov/...lectures_archive.php

ai technology science robotics

shared by Juxi Leitner on 30 Jul 15 - No Cached
  • Juxi Leitner on 30 Jul 15
     
    Robots to the Rescue!: JPL's RoboSimian and Surrogate Robots are here to Help
  • Thijs Versloot on 31 Jul 15
     
    Also many other interesting videos of the Karman Lectures
Alexander Wittig

Neuronal Networks: Computers paint like van Gogh - 1 views

www.spiegel.de/...maelde-aussehen-a-1051084.html

AI

shared by Alexander Wittig on 03 Sep 15 - No Cached
  • Alexander Wittig on 03 Sep 15
     
    A neuronal network trained to paint the scene of a given photograph in the style of Kandinsky, van Gogh, or Munch. Their results look quite impressive. Unfortunately the article is in German, but the English paper (with plenty of pictures) is here: http://arxiv.org/pdf/1508.06576v2.pdf Malen wie Kandinsky, wie van Gogh, wie Munch nur auf Basis einer Fotovorlage? Natürlich gibt es begabte Kunstfälscher, die das können. Jetzt aber gelingt es auch Computern, und zwar auf höchst eindrucksvolle Weise. Drei Forscher von der Universität Tübingen haben es geschafft, einem sogenannten künstlichen neuronalen Netzwerk das Malen beizubringen.
  • Luís F. Simões on 03 Sep 15
     
    Impressive stuff indeed. Paper came out one week ago. Multiple independent implementations have popped out since then: * https://github.com/Lasagne/Recipes/blob/master/examples/styletransfer/Art%20Style%20Transfer.ipynb * https://github.com/jcjohnson/neural-style * https://github.com/kaishengtai/neuralart
jcunha

Introducing A Brain-inspired Computer [IBM TrueNorth] - 0 views

www.research.ibm.com/...brain-chip.shtml

technology science BIO PHY AI NAN

shared by jcunha on 20 Aug 15 - No Cached
LeopoldS liked it
  • jcunha on 20 Aug 15
     
    Built in Silicon technology (Samsung's 28 nm process), its power is measured as one million neurons and 256 million synapses. It contains 5.4 million transistor being the largest IBM chip in these terms. All this said, it consumes less than 100 mW!! "These systems can efficiently process high-dimensional, noisy sensory data in real time, while consuming orders of magnitude less power than conventional computer architectures." IBM is working with initLabs to integrate the DVS retinal camera with these chips = real time image neuro-like image processing. In what seems to be a very successful project hugely funded by DARPA, "Our sights are now set high on the ambitious goal of integrating 4,096 chips in a single rack with 4 billion neurons and 1 trillion synapses while consuming ~4kW of power."
Nina Nadine Ridder

Robots collaborate to deliver meds, supplies, and even drinks - 2 views

phys.org/...8-robots-collaborate-meds.html

AI technology robots

shared by Nina Nadine Ridder on 11 Aug 15 - No Cached
  • Nina Nadine Ridder on 11 Aug 15
     
    At the recent Robotics Science and Systems (RSS) conference, a CSAIL team presented a new system of three robots that can work together to deliver items quickly, accurately and, perhaps most importantly, in unpredictable environments. The team says its models could extend to a variety of other applications, including hospitals, disaster situations, and even restaurants and bars.
Juxi Leitner

Artificial Astronomer Analyzes Galaxies Almost As Well As We Do | Singularity Hub - 1 views

singularityhub.com/...laxies-almost-as-well-as-we-do

ai astronomy galaxy zoo

shared by Juxi Leitner on 10 Jun 10 - Cached
  • program to agree with human analysis at an impressive rate of more than 90%
LeopoldS

Artificial companions and the fourth revolution ... - 2 views

philosophyofinformation.net/...ainfacatfr.pdf

AI science INF

shared by LeopoldS on 16 Jun 10 - No Cached
  • LeopoldS on 16 Jun 10
     
    fourth revolution?? what you make of this ...
LeopoldS

Scientists Develop Robots That Simulate Human Development - International Business Times - 2 views

www.ibtimes.com/...baby-and-child-robots.htm

robots AI science

shared by LeopoldS on 16 Jun 10 - Cached
  • LeopoldS on 16 Jun 10
     
    anyone for a crying baby robot?
Tobias Seidl

Looting, Cannibalism and Death Blows: The 'Shock and Awe' of Ant Warfare | Danger Room ... - 2 views

www.wired.com/...gallery-ant-warfare

BIO AI organisation

shared by Tobias Seidl on 05 Aug 10 - Cached
LeopoldS liked it
  • Tobias Seidl on 05 Aug 10
     
    Just some ant suff again.
  • LeopoldS on 07 Aug 10
     
    what strategies!!!
Juxi Leitner

Microsoft Shows Off 'Milo' Virtual Human | News & Opinion | PCMag.com - 0 views

www.pcmag.com/...0,2817,2366470,00.asp

virtual human microsoft fun science AI technology INF

shared by Juxi Leitner on 20 Jul 10 - Cached
  • TED, Microsoft showed off its "virtual human" technology, named Milo, designed for the company's hands-free Xbox 360 motion controller called Kinect at TED Global in Oxford. Milo is built to react to people's emotions, body movements, and voice, allowing players to interact with the virtual character.
duncan barker

Phys. Rev. Lett. 100, 018101 (2008): Amoebae Anticipate Periodic Events - 1 views

prl.aps.org/...e018101

bio AI

shared by duncan barker on 06 Sep 10 - No Cached
  • duncan barker on 06 Sep 10
     
    Amoebae Anticipate Periodic Events
  • Luís F. Simões on 06 Sep 10
     
    Let me guess, you came across this while looking into Memristors? :) If not, here's the connection: Memristor minds: The future of artificial intelligence http://www.newscientist.com/article/mg20327151.600-memristor-minds-the-future-of-artificial-intelligence.html ( if you don't have access to the full NewScientist article, there's a mirror here: http://www.mannkal.org/downloads/guests/memristormindsthefutureofartificialintelligence.pdf )
Luís F. Simões

Image evolution - 5 views

alteredqualia.com/...evolve

image evolution AI fun

shared by Luís F. Simões on 09 Sep 10 - Cached
LeopoldS liked it
  • Luís F. Simões on 09 Sep 10
     
    A very simple, but very creative application of evolution! Try it with your images. You can read about the first implementation of this kind here: http://developers.slashdot.org/developers/08/12/09/0238252.shtml
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