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pablo_gomez

[2109.05237] Physics-based Deep Learning - 0 views

arxiv.org/2109.05237

technology science PHY AI INF

shared by pablo_gomez on 16 Sep 21 - No Cached
  • pablo_gomez on 16 Sep 21
     
    Also a repo here: https://github.com/thunil/Physics-Based-Deep-Learning definitely looks interesting
domineo

Another neurotech company with sleep headband and co - 5 views

https://www.neurobit.io After DREEM and Philips, there's another neurotech company popping up with an acoustic stimulation headband called TRANCE. Their headband will also be the first one to incl...

neurotech sleep sexy deep learning

started by domineo on 29 May 18 no follow-up yet
johannessimon81

In super-earths magnesium oxide may be metallic and sustain magnetic fields... - 1 views

www.sciencedaily.com/...121122152949.htm

science space

shared by johannessimon81 on 23 Nov 12 - No Cached
  • johannessimon81 on 23 Nov 12
     
    The mantles of Earth and other rocky planets are rich in magnesium and oxygen. Due to its simplicity, the mineral magnesium oxide is a good model for studying the nature of planetary interiors. New work studied how magnesium oxide behaves under the extreme conditions deep within planets and found evidence that alters our understanding of planetary evolution.
johannessimon81

Fission reactor + stirling engine tested by NASA - 1 views

www.wired.com/...ve-stirling-engine-exploration

technology space

shared by johannessimon81 on 28 Nov 12 - No Cached
  • johannessimon81 on 28 Nov 12
     
    NASA has tested a prototype of a new design for a small uranium reactor as a power source for deep space exploration. In principle this should pose a smaller radiation danger during launch and more energy per mass compared to RTGs.
johannessimon81

Asteroid mining could lead to self-sustaining space stations - VIDEO!!! - 5 views

www.guardian.co.uk/...id-mining-space-stations-video

fun

shared by johannessimon81 on 23 Jan 13 - No Cached
  • johannessimon81 on 23 Jan 13
     
    Let's all start up some crazy space companies together: harvest hydrogen on Jupiter, trap black holes as unlimited energy supplies, use high temperatures close to the sun to bake bread! Apparently it is really easy to do just about anything and Deep Space Industries is really good at it. Plus: in their video they show Mars One concepts while referring to ESA and NASA.
  • ...3 more comments...
  • Marcus Maertens on 23 Jan 13
     
    I really wonder what they wanna mine out there? Is there such a high demand on... rocks?! And do they really think they can collect fuel somewhere?
  • Wiktor Piotrowski on 24 Jan 13
     
    Well they want to avoid having to send resources into space and rather make it all in space. The first mission is just to find possible asteroids worth mining and bring some asteroid rocks to Earth for analysis. In 2020 they want to start mining for precious metals (e.g. nickel), water and such.They also want to put up a 3D printer in space so that it would extract, separate and/or fuse asteroidal resources together and then print the needed structures already in space. And even though on earth it's just rocks, in space a tonne of them has an estimated value of 1 million dollars (as opposed to 4000 USD on Earth). Although I like the idea, I would put DSI in the same basket as those Mars One nutters 'cause it's not gonna happen.
  • johannessimon81 on 25 Jan 13
     
    I will get excited once they demonstrate they can put a random rock into their machine and out comes a bicycle (then the obvious next step is a space station).
  • Joris _ on 26 Jan 13
     
    hmm aside from the technological feasibility, their approach still should be taken as an example, and deserve a little support. By tackling such difficult problems, they will devise innovative stuffs. Plus, even if this doom-to-fail endeavour may still seem you useless, it creates jobs and make people think... it is already a positive! Final word: how is that different from what Planetary Resources plan to do? It is founded by a bunch of so-called "nuts" ... (http://www.planetaryresources.com/team/) ! a little thought: "We must never be afraid to go too far, for success lies just beyond" - Proust
  • johannessimon81 on 28 Jan 13
     
    I don't think that this proposal is very different from the one by Planetary Resources. My scepticism is rooted in the fact that - at least to my knowledge - fully autonomous mining technology has not even been demonstrated on Earth. I am sure that their proposition is in principle (technically) feasible but at the same time I do not believe that a privately funded company will find enough people to finance a multi-billion dollar R&D project that may or may not lead to an economically sensible outcome, i.e. generate profit (not income - you have to pay back the R&D cost first) within the next 25 years. And on that timescale anything can happen - for all we know we will all be slaves to the singularity by the time they start mining. I do think that people who tackle difficult problems deserve support - and lots of it. It seems however that up till now they have only tackled making a promotional video... About job creation (sorry for the sarcasm): if usefulness is not so important my proposal would be to give shovels to two people - person A digs a hole and person B fills up the same hole at the same time. The good thing about this is that you can increase the number of jobs created simply by handing out more shovels.
Daniel Hennes

CubeSat Ambipolar Thruster - 2 views

www.kickstarter.com/...er-for-interplanetary-cubesats

space technology

shared by Daniel Hennes on 04 Jul 13 - No Cached
LeopoldS liked it
  • Daniel Hennes on 04 Jul 13
     
    "Cast your name into deep space in style!"
  • dejanpetkow on 04 Jul 13
     
    Interesting approach, but with 99.9% probability they will miserably fail (at least in terms of their time schedule) simply because the technology is untested. I haven't read the refs (which miss by the way important works of E. Ahedo et al. on magnetic nozzle acceleration by ambipolar effects), but 1. using water means that you produce oxygen radicals which will erode chamber walls (ionisation efficiency is not 100% and experimental tests haven't been performed yet). 2. Electronic excitation (and radiation), rotational excitation, vibrational excitation, and dissociation are all processes which consume energy and reduce ionisation efficiency drastically. 3. It is a miniaturised Helicon thruster. Theoretical analysis probably does not consider near field effects. Far field models are probably not applicable due to the size of the thruster. I expect some surprises during thruster testing. In any case - good luck!
  • dejanpetkow on 05 Jul 13
     
    Apparently, there is only one qualification constraint regarding CubeSat propulsion which is related to volatile propellant. Since they use water as propellant and are also the owner of the CubeSat it is actually up to them how they qualify their thruster. Given that it is also possible to qualify the thruster within 18 months - since they define what "qualification" means.
Dario Izzo

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

arxiv.org/1608.04062

AI deeplearning

shared by Dario Izzo on 05 Sep 16 - No Cached
  • Dario Izzo on 05 Sep 16
     
    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 "
  • Paul N on 13 Sep 16
     
    clicking the link says the manuscript was withdrawn :))
  • johannessimon81 on 15 Sep 16
     
    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
johannessimon81

There's a Planet Like Earth Orbiting the Nearest Star to the Sun - 0 views

www.popularmechanics.com/...nearest-planet-proxima-b

science space

shared by johannessimon81 on 25 Aug 16 - No Cached
  • johannessimon81 on 25 Aug 16
     
    Time to get out the Fission Fragment Rocket Engine!
johannessimon81

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

www.nextbigfuture.com/...romorphic-chip-hits-darpa.html

AI science technology memristor neuromorphic

shared by johannessimon81 on 30 Sep 16 - No Cached
Dario Izzo liked it
  • johannessimon81 on 30 Sep 16
     
    "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/
fichbio

Plants 'see' underground by channelling light to their roots - 2 views

www.newscientist.com/...annelling-light-to-their-roots

science BIO light

shared by fichbio on 07 Nov 16 - No Cached
  • fichbio on 07 Nov 16
     
    A light-bulb moment? Plants seem to pipe sunlight directly down into underground roots to help them grow. Light receptors in stems, leaves and flowers have long been known to regulate plant growth. Roots also have these receptors, but it has been unclear how they sense light deep in dark soil.
Nicholas Lan

Nice sea and ocean depths diagram - 2 views

xkcd.com/large

fun

shared by Nicholas Lan on 10 Apr 12 - No Cached
Ma Ru liked it
  • Ma Ru on 10 Apr 12
     
    What stroke me especially was the shape of the Marianas Trench (much wider than deep) [edit] This reminds me I used to have a printout of a similar, but more space-related, comic http://xkcd.com/482/ hanging on the wall next to my desk in estec... good ol' times...
  • Luís F. Simões on 10 Apr 12
     
    and in case you missed it, check also the excellent Money infographic that guy created last year: http://xkcd.com/980/huge/
Nicholas Lan

An extensive and autonomous deep space navigation system using radio pulsars :: TU Delf... - 4 views

repository.tudelft.nl/...87-2804-4a8b-b192-eb053eca8126

pulsar navigation ariadna science technology phy

shared by Nicholas Lan on 13 Apr 12 - No Cached
LeopoldS liked it
  • Nicholas Lan on 13 Apr 12
     
    Interesting. these guys are apparently gonna try developing pulsar navigation. They propose to solve the low apparent brightness problem using relatively complex signal processing and filtering to limit the antenna size etc. The say they've already had some promising results using ground based data. worth a science coffee perhaps?
  • LeopoldS on 14 Apr 12
     
    Absolutely. Sante can you get in contact with them?
LeopoldS

The future is bright for humanity - opinion - 05 March 2012 - New Scientist - 1 views

www.newscientist.com/...re-is-bright-for-humanity.html

Future vision

shared by LeopoldS on 05 Mar 12 - No Cached
LeopoldS liked it
  • LeopoldS on 05 Mar 12
     
    This is almost word for word the title Andrés gave to the first presentation of the team to DG ten years ago ...
  • Ma Ru on 06 Mar 12
     
    There's a whole series of futuristic articles, may be worth having a look: http://www.newscientist.com/special/deep-future
Thijs Versloot

Underground oceans - 1 views

phys.org/...014-01-ocean-beneath-feet.html

science

shared by Thijs Versloot on 29 Jan 14 - No Cached
  • Thijs Versloot on 29 Jan 14
     
    Interesting report on water transport in deep see fault lines. Subduction can suck huge quantities of water of water underground where friction and pressure heat it up causing the mantle to partly melt which leads to volcanic activities around the fault zones. Not all the water would make it back up, leading to the possibility that there might be large quantities of water stored within the earths crust.
johannessimon81

Timeline: Plutonium-238′s Hot and Twisted History - 2 views

www.wired.com/...plutonium-238-history-timeline

PHY space

shared by johannessimon81 on 19 Sep 13 - No Cached
  • johannessimon81 on 19 Sep 13
     
    Wired magazine has a special focus today on Plutonium-238 the fuel for RTG power sources. The history of the material plus the challenges due to the shortage of it - potentially ending deep space exploration as we practice it today (?)...
Thijs Versloot

Taking the internet underwater - 0 views

phys.org/...13-10-internet-underwater.html

technology

shared by Thijs Versloot on 15 Oct 13 - No Cached
  • Thijs Versloot on 15 Oct 13
     
    University at Buffalo researchers are developing a deep-sea Internet. The technological breakthrough could lead to improvements in tsunami detection, offshore oil and natural gas exploration, surveillance, pollution monitoring...
Paul N

Deep Learning, an Overview - 2 views

www.idsia.ch/...DeepLearning30April2014.pdf

AI

shared by Paul N on 07 May 14 - No Cached
  • Paul N on 07 May 14
     
    For those interested in AI, a good idea to keep track of what's recently been put out there
  • Ma Ru on 07 May 14
     
    From a quick glance, a serious contender to the most unreadable article ever. 60% of the pages of this document are references... Still, in the use of abbreviations doesn't even come close to aerospace...
johannessimon81

World's largest OTEC power plant planned for China - 1 views

www.gizmag.com/...27164

technology NRG

shared by johannessimon81 on 19 Jun 13 - No Cached
LeopoldS liked it
  • johannessimon81 on 19 Jun 13
     
    I wonder how much energy you can extract from the ocean in a responsible way... Mixing up different thermal layers would probably a quite an influence on ecology.
  • Isabelle Dicaire on 20 Jun 13
     
    The last available assessment report on the ecological impact seems to date from 1981 which would need to be brought up to current standards. On the other hand, this system could have a positive influence on fish population as deep cold water brings nutrients to the surface. The cold water could also be used to lower sea surface temperatures and affect hurricane genesis!
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/.
Tobias Seidl

Protection mechanisms of the iron-plated armor of a deep-sea hydrothermal vent gastropo... - 1 views

www.pnas.org/...987.abstract

BIO material impact

shared by Tobias Seidl on 20 Jan 10 - Cached
  • Tobias Seidl on 20 Jan 10
     
    Here, we report new materials and mechanical design principles of the iron-plated multilayered structure of the natural armor of Crysomallon squamiferum, a recently discovered gastropod mollusc from the Kairei Indian hydrothermal vent field, which is unlike any other known natural or synthetic engineered armor.
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