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Guido de Croon

Will robots be smarter than humans by 2029? - 2 views

robohub.org/be-smarter-than-humans-by-2029

AI

shared by Guido de Croon on 10 Mar 14 - No Cached
  • Guido de Croon on 10 Mar 14
     
    Nice discussion about the singularity. Made me think of drinking coffee with Luis... It raises some issues such as the necessity of embodiment, etc.
  • ...9 more comments...
  • Luís F. Simões on 12 Mar 14
     
    "Kurzweilians"... LOL. Still not sold on embodiment, btw.
  • Ma Ru on 12 Mar 14
     
    The biggest problem with embodiment is that, since the passive walkers (with which it all started), it hasn't delivered anything really interesting...
  • Paul N on 13 Mar 14
     
    The problem with embodiment is that it's done wrong. Embodiment needs to be treated like big data. More sensors, more data, more processing. Just putting a computer in a robot with a camera and microphone is not embodiment.
  • Marcus Maertens on 14 Mar 14
     
    I like how he attacks Moore's Law. It always looks a bit naive to me if people start to (ab)use it to make their point. No strong opinion about embodiment.
  • johannessimon81 on 14 Mar 14
     
    @Paul: How would embodiment be done RIGHT?
  • Guido de Croon on 16 Mar 14
     
    Embodiment has some obvious advantages. For example, in the vision domain many hard problems become easy when you have a body with which you can take actions (like looking at an object you don't immediately recognize from a different angle) - a point already made by researchers such as Aloimonos.and Ballard in the end 80s / beginning 90s. However, embodiment goes further than gathering information and "mental" recognition. In this respect, the evolutionary robotics work by for example Beer is interesting, where an agent discriminates between diamonds and circles by avoiding one and catching the other, without there being a clear "moment" in which the recognition takes place. "Recognition" is a behavioral property there, for which embodiment is obviously important. With embodiment the effort for recognizing an object behaviorally can be divided between the brain and the body, resulting in less computation for the brain. Also the article "Behavioural Categorisation: Behaviour makes up for bad vision" is interesting in this respect. In the field of embodied cognitive science, some say that recognition is constituted by the activation of sensorimotor correlations. I wonder to which extent this is true, and if it is valid for extremely simple creatures to more advanced ones, but it is an interesting idea nonetheless. This being said, if "embodiment" implies having a physical body, then I would argue that it is not a necessary requirement for intelligence. "Situatedness", being able to take (virtual or real) "actions" that influence the "inputs", may be.
  • Ma Ru on 17 Mar 14
     
    @Paul While I completely agree about the "embodiment done wrong" (or at least "not exactly correct") part, what you say goes exactly against one of the major claims which are connected with the notion of embodiment (google for "representational bottleneck"). The fact is your brain does *not* have resources to deal with big data. The idea therefore is that it is the body what helps to deal with what to a computer scientist appears like "big data". Understanding how this happens is key. Whether it is the problem of scale or of actually understanding what happens should be quite conclusively shown by the outcomes of the Blue Brain project.
  • johannessimon81 on 17 Mar 14
     
    Wouldn't one expect that to produce consciousness (even in a lower form) an approach resembling that of nature would be essential? All animals grow from a very simple initial state (just a few cells) and have only a very limited number of sensors AND processing units. This would allow for a fairly simple way to create simple neural networks and to start up stable neural excitation patterns. Over time as complexity of the body (sensors, processors, actuators) increases the system should be able to adapt in a continuous manner and increase its degree of self-awareness and consciousness. On the other hand, building a simulated brain that resembles (parts of) the human one in its final state seems to me like taking a person who is just dead and trying to restart the brain by means of electric shocks.
  • Paul N on 17 Mar 14
     
    Actually on a neuronal level all information gets processed. Not all of it makes it into "conscious" processing or attention. Whatever makes it into conscious processing is a highly reduced representation of the data you get. However that doesn't get lost. Basic, low processed data forms the basis of proprioception and reflexes. Every step you take is a macro command your brain issues to the intricate sensory-motor system that puts your legs in motion by actuating every muscle and correcting every step deviation from its desired trajectory using the complicated system of nerve endings and motor commands. Reflexes which were build over the years, as those massive amounts of data slowly get integrated into the nervous system and the the incipient parts of the brain. But without all those sensors scattered throughout the body, all the little inputs in massive amounts that slowly get filtered through, you would not be able to experience your body, and experience the world. Every concept that you conjure up from your mind is a sort of loose association of your sensorimotor input. How can a robot understand the concept of a strawberry if all it can perceive of it is its shape and color and maybe the sound that it makes as it gets squished? How can you understand the "abstract" notion of strawberry without the incredibly sensible tactile feel, without the act of ripping off the stem, without the motor action of taking it to our mouths, without its texture and taste? When we as humans summon the strawberry thought, all of these concepts and ideas converge (distributed throughout the neurons in our minds) to form this abstract concept formed out of all of these many many correlations. A robot with no touch, no taste, no delicate articulate motions, no "serious" way to interact with and perceive its environment, no massive flow of information from which to chose and and reduce, will never attain human level intelligence. That's point 1. Point 2 is that mere pattern recogn
  • Ma Ru on 18 Mar 14
     
    All information *that gets processed* gets processed but now we arrived at a tautology. The whole problem is ultimately nobody knows what gets processed (not to mention how). In fact an absolute statement "all information" gets processed is very easy to dismiss because the characteristics of our sensors are such that a lot of information is filtered out already at the input level (e.g. eyes). I'm not saying it's not a valid and even interesting assumption, but it's still just an assumption and the next step is to explore scientifically where it leads you. And until you show its superiority experimentally it's as good as all other alternative assumptions you can make. I only wanted to point out is that "more processing" is not exactly compatible with some of the fundamental assumptions of the embodiment. I recommend Wilson, 2002 as a crash course.
  • Paul N on 24 Mar 14
     
    These deal with different things in human intelligence. One is the depth of the intelligence (how much of the bigger picture can you see, how abstract can you form concept and ideas), another is the breadth of the intelligence (how well can you actually generalize, how encompassing those concepts are and what is the level of detail in which you perceive all the information you have) and another is the relevance of the information (this is where the embodiment comes in. What you do is to a purpose, tied into the environment and ultimately linked to survival). As far as I see it, these form the pillars of human intelligence, and of the intelligence of biological beings. They are quite contradictory to each other mainly due to physical constraints (such as for example energy usage, and training time). "More processing" is not exactly compatible with some aspects of embodiment, but it is important for human level intelligence. Embodiment is necessary for establishing an environmental context of actions, a constraint space if you will, failure of human minds (i.e. schizophrenia) is ultimately a failure of perceived embodiment. What we do know is that we perform a lot of compression and a lot of integration on a lot of data in an environmental coupling. Imo, take any of these parts out, and you cannot attain human+ intelligence. Vary the quantities and you'll obtain different manifestations of intelligence, from cockroach to cat to google to random quake bot. Increase them all beyond human levels and you're on your way towards the singularity.
Annalisa Riccardi

The Computer That Stores and Processes Information At the Same Time | MIT Technology Re... - 3 views

www.technologyreview.com/...s-information-at-the-same-time

shared by Annalisa Riccardi on 22 Nov 12 - No Cached
  • Annalisa Riccardi on 22 Nov 12
     
    The human brain both stores and processes information at the same time. Now computer scientists say they can do the same thing The human brain is an extraordinary computing machine. Nobody understands exactly how it works its magic but part of the trick is the ability to store and process information at the same time.
nikolas smyrlakis

SiG | Social Innovation Generation - 0 views

sigeneration.ca

social innovation complexity

shared by nikolas smyrlakis on 11 Sep 09 - Cached
  • nikolas smyrlakis on 11 Sep 09
     
    How about that for an abstract discipline, and I thought CMS was abstract. Sounds great though: Social Innovation Generation: "Social innovation is an initiative, product, process or program that profoundly changes the basic routines, resource and authority flows or beliefs of any social system. Successful social innovations have durability and broad impact. While social innovation has recognizable stages and phases, achieving durability and scale is a dynamic process that requires both emergence of opportunity and deliberate agency, and a connection between the two."
LeopoldS

Seasonality in human cognitive brain responses - 2 views

www.pnas.org/...1518129113.full.pdf

brain

shared by LeopoldS on 10 Feb 16 - No Cached
jcunha liked it
  • LeopoldS on 10 Feb 16
     
    interesting study showing seasonal changes to brain functions Agata, you didn't tell us about this yet :-) "the present study provides compelling evidence for previously unappreciated annual varia- tions in the cerebral activity required to sustain ongoing cognitive processes in healthy volunteers. The data further show that this annual rhythmicity is cognitive-process-specific (i.e., the phase of the rhythm changes between cognitive tasks), speaking for a complex impact of season on human brain function. Annual var- iations in cognitive brain function may contribute to explain intraindividual cognitive changes that could emerge at specific times of year."
  • fichbio on 12 Feb 16
     
    Thank you for this interesting study. I will make a brief intro about it during our Wednesday meeting. Especially, that spring is coming...;)
johannessimon81

Peel-and-Stick: Fabricating Thin Film Solar Cell on Universal Substrates - 3 views

www.nature.com/...srep01000.html

technology

shared by johannessimon81 on 28 Feb 13 - No Cached
LeopoldS liked it
  • LeopoldS on 28 Feb 13
     
    any clue how? "With the peel-and-stick process, we integrated hydrogenated amorphous silicon (a-Si:H) TFSCs on paper, plastics, cell phone and building windows while maintaining the original 7.5% efficiency. The new peel-and-stick process enables further reduction of the cost and weight for TFSCs and endows TFSCs with flexibility and attachability for broader application areas. We believe that the peel-and-stick process can be applied to thin film electronics as well"
LeopoldS

Helix Nebula - Helix Nebula Vision - 0 views

www.helix-nebula.eu/...helix-nebula-vision.html

cloud computing IT CERN

shared by LeopoldS on 20 Mar 13 - No Cached
  • LeopoldS on 20 Mar 13
     
    The partnership brings together leading IT providers and three of Europe's leading research centres, CERN, EMBL and ESA in order to provide computing capacity and services that elastically meet big science's growing demand for computing power.

    Helix Nebula provides an unprecedented opportunity for the global cloud services industry to work closely on the Large Hadron Collider through the large-scale, international ATLAS experiment, as well as with the molecular biology and earth observation. The three flagship use cases will be used to validate the approach and to enable a cost-benefit analysis. Helix Nebula will lead these communities through a two year pilot-phase, during which procurement processes and governance issues for the public/private partnership will be addressed.

    This game-changing strategy will boost scientific innovation and bring new discoveries through novel services and products. At the same time, Helix Nebula will ensure valuable scientific data is protected by a secure data layer that is interoperable across all member states. In addition, the pan-European partnership fits in with the Digital Agenda of the European Commission and its strategy for cloud computing on the continent. It will ensure that services comply with Europe's stringent privacy and security regulations and satisfy the many requirements of policy makers, standards bodies, scientific and research communities, industrial suppliers and SMEs.

    Initially based on the needs of European big-science, Helix Nebula ultimately paves the way for a Cloud Computing platform that offers a unique resource to governments, businesses and citizens.
  • Francesco Biscani on 21 Mar 13
     
    "Helix Nebula will lead these communities through a two year pilot-phase, during which procurement processes and governance issues for the public/private partnership will be addressed." And here I was thinking cloud computing was old news 3 years ago :)
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/.
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."
santecarloni

[1101.6015] Radio beam vorticity and orbital angular momentum - 1 views

arxiv.org/1101.6015

radio light antennas technology

shared by santecarloni on 20 Oct 11 - No Cached
  • It has been known for a century that electromagnetic fields can transport not only energy and linear momentum but also angular momentum. However, it was not until twenty years ago, with the discovery in laser optics of experimental techniques for the generation, detection and manipulation of photons in well-defined, pure orbital angular momentum (OAM) states, that twisted light and its pertinent optical vorticity and phase singularities began to come into widespread use in science and technology. We have now shown experimentally how OAM and vorticity can be readily imparted onto radio beams. Our results extend those of earlier experiments on angular momentum and vorticity in radio in that we used a single antenna and reflector to directly generate twisted radio beams and verified that their topological properties agree with theoretical predictions. This opens the possibility to work with photon OAM at frequencies low enough to allow the use of antennas and digital signal processing, thus enabling software controlled experimentation also with first-order quantities, and not only second (and higher) order quantities as in optics-type experiments. Since the OAM state space is infinite, our findings provide new tools for achieving high efficiency in radio communications and radar technology.
  • santecarloni on 20 Oct 11
     
    It has been known for a century that electromagnetic fields can transport not only energy and linear momentum but also angular momentum. However, it was not until twenty years ago, with the discovery in laser optics of experimental techniques for the generation, detection and manipulation of photons in well-defined, pure orbital angular momentum (OAM) states, that twisted light and its pertinent optical vorticity and phase singularities began to come into widespread use in science and technology. We have now shown experimentally how OAM and vorticity can be readily imparted onto radio beams. Our results extend those of earlier experiments on angular momentum and vorticity in radio in that we used a single antenna and reflector to directly generate twisted radio beams and verified that their topological properties agree with theoretical predictions. This opens the possibility to work with photon OAM at frequencies low enough to allow the use of antennas and digital signal processing, thus enabling software controlled experimentation also with first-order quantities, and not only second (and higher) order quantities as in optics-type experiments. Since the OAM state space is infinite, our findings provide new tools for achieving high efficiency in radio communications and radar technology.
  • LeopoldS on 20 Oct 11
     
    and how can we use this?
johannessimon81

ESA article on magnetic reconnection, related: solar flares, earth magnetic field jets,... - 0 views

sci.esa.int/...index.cfm

PHY science space ESA CLUSTER

shared by johannessimon81 on 22 May 13 - No Cached
  • johannessimon81 on 22 May 13
     
    ESA Science & Technology: A leap forward in probing magnetic reconnection in space: Magnetic reconnection is a fundamental physical process in the Universe, playing a major role in various phenomena such as star formation or solar explosions, but also preventing plasma confinement in fusion reactors on Earth. However, a lack of precise measurements at the heart of this physical process prevents a full understanding of this phenomenon.
LeopoldS

Physicists twist water into knots : Nature News & Comment - 3 views

www.nature.com/...twist-water-into-knots-1.12534

mathematics

shared by LeopoldS on 01 Apr 13 - No Cached
  • LeopoldS on 01 Apr 13
     
    More than a century after the idea was first floated, physicists have finally figured out how to tie water in knots in the laboratory. The gnarly feat, described today in Nature Physics1, paves the way for scientists to experimentally study twists and turns in a range of phenomena - ionized gases like that of the Sun's outer atmosphere, superconductive materials, liquid crystals and quantum fields that describe elementary particles.

    Lord Kelvin proposed that atoms were knotted "vortex rings" - which are essentially like tornado bent into closed loops and knotted around themselves, as Daniel Lathrop and Barbara Brawn-Cinani write in an accompanying commentary. In Kelvin's vision, the fluid was the theoretical 'aether' then thought to pervade all of space. Each type of atom would be represented by a different knot.

    Related stories
    Solar magnetism twists braids of superheated gas
    Electron microscopy gets twisted
    Topological insulators: Star material
    More related stories
    Kelvin's interpretation of the periodic table never went anywhere, but his ideas led to the blossoming of the mathematical theory of knots, part of the field of topology. Meanwhile, scientists also have come to realize that knots have a key role in a host of physical processes.
LeopoldS

The Pacific free trade deal that's anything but free | Dean Baker | Comment is free | g... - 0 views

www.guardian.co.uk/...pacific-free-trade-deal

Politics trade

shared by LeopoldS on 13 Sep 12 - No Cached
  • LeopoldS on 13 Sep 12
     
    Frightening! In reality, the deal has almost nothing to do with trade: actual trade barriers between these countries are already very low. The TPP is an effort to use the holy grail of free trade to impose conditions and override domestic laws in a way that would be almost impossible if the proposed measures had to go through the normal legislative process. The expectation is that by lining up powerful corporate interests, the governments will be able to ram this new "free trade" pact through legislatures on a take-it-or-leave-it basis.
Luís F. Simões

NASA Turns to 3D Printing for Self-Building Spacecraft | Space.com - 4 views

www.space.com/sa-spacecraft-3d-printing.html

cubesat 3D printing NIAC

shared by Luís F. Simões on 17 Sep 12 - No Cached
LeopoldS liked it
  • SpiderFab Concept CREDIT: Unlimited Tethers
  • Luís F. Simões on 17 Sep 12
     
    CubeSats + 3D printing... for space. I'm surprised this isn't an ACT project :) more info: SpiderFab: Process for On-Orbit Construction of Kilometer-Scale Apertures
  • Dario Izzo on 18 Sep 12
     
    $100,000 from NASA's Innovative Advanced Concepts program to hammer out a design and figure out whether spacecraft self-construction makes business sense .... I can answer for 0$ ..... NO Infact the question is just stupid: a) spacecraft self-construction exist: then it is a no brainer to decide wether it makes business sense b) it does not: then there is no business
santecarloni

Carbon membranes excel at separating liquids - physicsworld.com - 1 views

physicsworld.com/...48474

Science technology

shared by santecarloni on 02 Feb 12 - No Cached
LeopoldS liked it
  • santecarloni on 02 Feb 12
     
    Two independent teams have made ultrathin, cabon-based membranes with extraordinary properties that could be used in a range of applications, from water filtration to petroleum processing.
santecarloni

Quantum Biology and the Puzzle of Coherence - Technology Review - 4 views

www.technologyreview.com/...27628

biology quantum technology bio

shared by santecarloni on 06 Mar 12 - No Cached
  • santecarloni on 06 Mar 12
     
    Quantum processes shouldn't survive in hot, wet biological systems and yet a growing body of evidence suggests they do. Now physicists think they know how
  • ...2 more comments...
  • Luzi Bergamin on 09 Mar 12
     
    Tobias, José and myself considered an ACT project in quantum biomimetics, but it never led anywhere. Perhaps the field is sexy enough now...
  • LeopoldS on 09 Mar 12
     
    Considered is the right word ... You unfortunately never passed the step after "considering" :-)
  • Luzi Bergamin on 10 Mar 12
     
    Yes, because our bosses forced us to write strategic reports on "system of systems" :-)
  • LeopoldS on 10 Mar 12
     
    Oh these terrible ignorant slave masters .... Would love to see your "reports on system of systems" :-)
johannessimon81

A Different Form of Color Vision in Mantis Shrimp - 4 views

www.sciencemag.org/...411.full

technology BIO biomimetics science

shared by johannessimon81 on 28 Jan 14 - No Cached
  • johannessimon81 on 28 Jan 14
     
    Mantis shrimp seem to have 12 types of photo-receptive sensors - but this does not really improve their ability to discriminate between colors. Speculation is that they serve as a form of pre-processing for visual information: the brain does not need to decode full color information from just a few channels which would would allow for a smaller brain. I guess technologically the two extremes of light detection would be RGB cameras which are like our eyes and offer good spatial resolution, and spectrometers which have a large amount of color channels but at the cost of spatial resolution. It seems the mantis shrimp uses something that is somewhere between RGB cameras and spectrometers. Could there be a use for this in space?
  • Ma Ru on 31 Jan 14
     
    > RGB cameras which are like our eyes ...apart from the fact that the spectral response of the eyes is completely different from "RGB" cameras (http://en.wikipedia.org/wiki/File:Cones_SMJ2_E.svg) ... and that the eyes have 4 types of light-sensitive cells, not three (http://en.wikipedia.org/wiki/File:Cone-response.svg) ... and that, unlike cameras, human eye is precise only in a very narrow centre region (http://en.wikipedia.org/wiki/Fovea) ...hmm, apart from relying on tri-stimulus colour perception it seems human eyes are in fact completely different from "RGB cameras" :-) OK sorry for picking on this - that's just the colour science geek in me :-) Now seriously, on one hand the article abstract sounds very interesting, but on the other the statement "Why use 12 color channels when three or four are sufficient for fine color discrimination?" reveals so much ignorance to the very basics of colour science that I'm completely puzzled - in the end, it's a Science article so it should be reasonably scientifically sound, right? Pity I can't access full text... the interesting thing is that more channels mean more information and therefore should require *more* power to process - which is exactly opposite to their theory (as far as I can tell it from the abstract...). So the key is to understand *what* information about light these mantises are collecting and why - definitely it's not "colour" in the sense of human perceptual experience. But in any case - yes, spectrometry has its uses in space :-)
Marcus Maertens

Supernova Core Imaged For the First Time - 0 views

www.iflscience.com/...pernova-core-imaged-first-time

space PHY

shared by Marcus Maertens on 22 Feb 14 - No Cached
  • Marcus Maertens on 22 Feb 14
     
    towards a better understanding about the fusion processes in the last moments of a star's life.
Thijs Versloot

Real-time measurements inside a battery show dynamics of electrochemical processes (video) - 0 views

dailyfusion.net/...n-batteries-in-real-time-26874

battery technology

shared by Thijs Versloot on 04 Mar 14 - No Cached
  • Thijs Versloot on 04 Mar 14
     
    "As we start to sweep the potential, we didn't initially observe anything," said lead author Robert Sacci, a postdoctoral research fellow with ORNL's FIRST Energy Frontier Research Center. "Then we started seeing shadows-presumably polymeric SEI-forming into a dendritic pattern. It looks like a snowflake forming from the electrode." nice fractals.. as always
Thijs Versloot

The big data brain drain - 3 views

jakevdp.github.io/...big-data-brain-drain

big data

shared by Thijs Versloot on 04 Mar 14 - No Cached
  • Thijs Versloot on 04 Mar 14
     
    Echoing this, in 2009 Google researchers Alon Halevy, Peter Norvig, and Fernando Pereira penned an article under the title The Unreasonable Effectiveness of Data. In it, they describe the surprising insight that given enough data, often the choice of mathematical model stops being as important - that particularly for their task of automated language translation, "simple models and a lot of data trump more elaborate models based on less data." If we make the leap and assume that this insight can be at least partially extended to fields beyond natural language processing, what we can expect is a situation in which domain knowledge is increasingly trumped by "mere" data-mining skills. I would argue that this prediction has already begun to pan-out: in a wide array of academic fields, the ability to effectively process data is superseding other more classical modes of research.
johannessimon81

Software Makes 3-D Models From Any Photo - 3 views

www.wired.com/...models-from-any-old-photograph

technology AI INF

shared by johannessimon81 on 12 Sep 13 - No Cached
LeopoldS liked it
  • johannessimon81 on 12 Sep 13
     
    Video shows how easy the process is and how cool the results look. Does anybody know a potential scientific application for such image processing?
  • LeopoldS on 15 Sep 13
     
    this is very impressive indeed ... looks like the manual steps they are doing could be automatised, can't they?
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