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ESA ACT

Computer mouse heading for extinction - 0 views

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    Good by then...
ESA ACT

Jarifa - Trac - 0 views

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    Jarifa (a.k.a OGM) is a system for grid computing on organizational resources, using BOINC.
ESA ACT

scop3 - 0 views

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    A rough guide to Scientific Computing On the PlayStation 3
ESA ACT

Extension of Human Senses - A NASA Division! - 0 views

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    NEURO-ENGINEERING COMPUTATIONAL SCIENCES DIVISION NASA AMES RESEARCH CENTER
ESA ACT

reCAPTCHA: Stop Spam, Read Books - 0 views

shared by ESA ACT on 24 Apr 09 - Cached
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    Could be considered as Distributed Computing...
ESA ACT

Project Epoc - 0 views

shared by ESA ACT on 24 Apr 09 - Cached
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    A new interface for human computer interaction.
nikolas smyrlakis

Logicomix: an epic search for truth - 1 views

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    an interesting comic about maths, ideas etc. Co-written by a greek mathematician / writer and a Berkeley computer science professor, sold out in Greece and since its international release a couple of months ago is occupying the top selling comics lists of Amazon etc. also: http://www.logicomix.com/en/index.php?option=com_content&view=frontpage&Itemid=53
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    btw I just ordered it from Amazon, so if you want after I finish it I can lend it
Francesco Biscani

Intel Shows 48-Core x86 Processor - 1 views

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    Finally a massively multi-core general-purpose architecture.
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    Well, nice, but I wonder how much cache per core will be available... With 48 cores a single memory bus becomes nothing more than one big (small? :) ) bottleneck.
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    Apparently they have separated L2 cache per-tile (i.e., every two processors) and a high speed bus connecting the tiles. As usual, whether it will be fast enough will depend from the specific applications (which BTW is also true for other current multi-core architectures). The nice thing is of course that porting software to this architecture will be one order of magnitude less difficult than going to Tesla/Fermi/CELL architectures. Also, this architecture will also be suitable for other tasks than floating point computations (damn engineers polluting computer science :P) and it has the potential to be more future-proof than other solutions.
nikolas smyrlakis

PARC (Palo Alto Research Center) - 0 views

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    An interesting research centre in California! Focus areas: Business Services Electronic Materials, Devices, & Systems Information & Communication Technologies Biomedical Systems Cleantech
  • ...1 more comment...
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    and some very ACT- like interesting internships / ideas they have Automatic summarization of related documents http://www.parc.com/job/43/automatic-summarization-of-related-documents.html (remember Kev's idea?) Bayesian diagnosis http://www.parc.com/job/34/bayesian-diagnosis---summer.html Autonomous robotics UAVs UGVs http://www.parc.com/job/36/autonomous-robotics---summer.html
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    XEROX PARC was definitely heavily involved in computer development: eg. mouse, GUI, ethernet, OO programming, all came out of PARC, and all that without focusing on computers but printers...
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    aaah its the XEROX centre, didn't know. Yep they made the mouse and then handed it over nicely to Apple after IBM thought it was useless
Luís F. Simões

Pioneer Anomaly Solved By 1970s Computer Graphics Technique - Technology Review - 4 views

  • Now Frederico Francisco at the Instituto de Plasmas e Fusao Nuclear in Lisbon Portugal, and a few pals, say they've worked out where the thermal calculations went wrong. These guys have redone the calculations using a computer model of not only how the heat is emitted but how it is reflected off the various parts of the spacecraft too. The reflections turn out to be crucial.
  • Ref: arxiv.org/abs/1103.5222: Modelling The Reflective Thermal Contribution To The Acceleration Of The Pioneer Spacecraft
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    This is really cool. I know one of the authors and he is a good guy... the only thing that leaves me unsatisfied is that if the whole issue is related to thermal effects one should have seen the Pioneer effect all the time and not only at about 10 AU... ...or is there some thermal process that kicked in only at this distance?
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    Here's an update on this theory: NASA Releases New Pioneer Anomaly Analysis "The mysterious force acting on the Pioneer spacecraft seems to be falling exponentially. That's a strong clue that on-board heat is to blame, says NASA." Heat emission 'most likely cause' of pioneer anomaly "What's more interesting is that, contrary to the original analysis conducted all those years ago, the deceleration does seem to be decelerating at an exponential rate -- just as one might expect from the radioactive decay of plutonium-238, which powers the two spacecraft. Turyshev concludes, "The most likely cause of the Pioneer anomaly is the anisotropic emission of on-board heat.""
Ma Ru

The human Turing machine: a neural framework for mental programs - 2 views

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    From the alternative computing series...
LeopoldS

Microsoft's Strange Quest for the Topological Qubit | MIT Technology Review - 2 views

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    loads of nice passwords - should we have a closer look at it? anybody volunteering? e.g. Anna and Daniel?
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    Just to add to this possible discussion, two important breakthroughs in Quantum Computing using Silicon were published last week (October 12th). Check it here: http://phys.org/news/2014-10-physicists-silicon-quantum.html
Marcus Maertens

Computer Scientists Generate A Self-Aware Mario That Can Learn And Feel | IFLScience - 2 views

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    Here we go! AI for Mario has arrived. What is still missing is the Italian accent in his robo-voice though. To compensate for that, we have a lot of German accent in the Youtube-video. Make sure to check it out if you always liked the background music from the games. Putting the trolling aside, I honestly like the idea! There is still some way to go, but maybe we will watch and even pay to be able to see twitch-streams of self-ware bots one day?
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    I'm actually considering doing an twitch-bot channel. Why pay when you can cash in? Kind of lazy tho`
Isabelle Dicaire

Iceberg Can Be Towed To Supply Fresh Water For Drought Areas: How? [VIDEO] - 0 views

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    Towing an iceberg from Newfoundland to the Canary Islands: how 3D computer simulations are used to study iceberg melting and fuel consumption in this concept.
Daniel Hennes

Discovery with Data: Leveraging Statistics with Computer Science to Transform Science ... - 3 views

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    Responding to calls from the National Science Foundation (NSF) and White House Office of Science and Technology Policy (OSTP), a working group of the American Statistical Association has developed a whitepaper detailing how statisticians and computer scientists can contribute to administration research initiatives and priorities. The whitepaper includes a lot of topics central to machine learning and data mining, so please take a look.
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    I guess Norvig is trumping Chomsky big time if this is the attitude of the NSF :)))
jcunha

Quantum machine learning - 1 views

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    Quantum Computing and Machine Learning in the same sentence. The association started to be put forward by Google and NASA playing with D-WAVE computers. Meanwhile in the academic media, https://journals.aps.org/prx/pdf/10.1103/PhysRevX.4.031002
LeopoldS

physicists explain what AI researchers are actually doing - 5 views

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    love this one ... it seems to take physicist to explain to the AI crowd what they are actually doing ... Deep learning is a broad set of techniques that uses multiple layers of representation to automatically learn relevant features directly from structured data. Recently, such techniques have yielded record-breaking results on a diverse set of difficult machine learning tasks in computer vision, speech recognition, and natural language processing. Despite the enormous success of deep learning, relatively little is understood theoretically about why these techniques are so successful at feature learning and compression. Here, we show that deep learning is intimately related to one of the most important and successful techniques in theoretical physics, the renormalization group (RG). RG is an iterative coarse-graining scheme that allows for the extraction of relevant features (i.e. operators) as a physical system is examined at different length scales. We construct an exact mapping from the variational renormalization group, first introduced by Kadanoff, and deep learning architectures based on Restricted Boltzmann Machines (RBMs). We illustrate these ideas using the nearest-neighbor Ising Model in one and two-dimensions. Our results suggests that deep learning algorithms may be employing a generalized RG-like scheme to learn relevant features from data.
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