Skip to main content

Home/ Advanced Concepts Team/ Group items tagged technology robots ai

Rss Feed Group items tagged

Luís F. Simões

How copyright enforcement robots killed the Hugo Awards - 1 views

  •  
    We are living in the future when live broadcasts are being censored by AI programs in real-time. I'm sure dictators everywhere are looking forward for these technologies to mature. Having a firewall over reality is so convenient.
  •  
    What this tells is that we should not take AI seriously until smart Luis's (or his son) managed to make something decent out of it ... "This was, of course, absurd. First of all, the clips had been provided by the studios to be shown during the award ceremony. The Hugo Awards had explicit permission to broadcast them. But even if they hadn't, it is absolutely fair use to broadcast clips of copyrighted material during an award ceremony. Unfortunately, the digital restriction management (DRM) robots on Ustream had not been programmed with these basic contours of copyright law. And then, it got worse. Amid more cries of dismay on Twitter, Reddit, and elsewhere, the official Worldcon Twitter announced: Chicon 7@chicon_7 We are sorry to report that #Ustream will not resume the video feed. #chicon7 #hugos #worldcon 3 Sep 12 ReplyRetweetFavorite And with that, the broadcast was officially cut off. Dumb robots, programmed to kill any broadcast containing copyrighted material, had destroyed the only live broadcast of the Hugo Awards. Sure, we could read what was happening on Twitter, or get the official winner announcement on the Hugo website, but that is hardly the same. We wanted to see our heroes and friends on that stage, and share the event with them. In the world of science fiction writing, the Hugo Awards are kind of like the Academy Awards. Careers are made; people get dressed up and give speeches; and celebrities rub shoulders with (admittedly geeky) paparazzi. You want to see and hear it if you can. But Ustream's incorrectly programmed copyright enforcement squad had destroyed our only access. It was like a Cory Doctorow story crossed with RoboCop 2, with DRM robots going crazy and shooting indiscriminately into a crowd of perfectly innocent broadcasts."
Juxi Leitner

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

  •  
    Robots to the Rescue!: JPL's RoboSimian and Surrogate Robots are here to Help
  •  
    Also many other interesting videos of the Karman Lectures
Wiktor Piotrowski

FoamBot builds a quadruped robot - YouTube - 0 views

  •  
    an experiment at the University of Pennsylvania. It might be a bit far-fetched but I thought it might be useful when exploring new planets. Combined with AI the robot would able to assess the terrain and deploy another robot the shape of which would be chosen to best suit its environment. I was thinking of this in the context of exploring places on other planets which are inaccessible by regular rovers (e.g. caves on Mars).
Luís F. Simões

The accidental roboticist - 1 views

  •  
    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/
Nina Nadine Ridder

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

  •  
    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

IDSIA Robotics | IM-CLeVeR - 1 views

  •  
    Toward Autonomous Humanoids check out our new video with the iCub in the IM-CLeVeR project
  •  
    Admit it ... You have fallen in love ....
  •  
    you dont' know how often we had to shoot that scene :) but it is an adorable baby robot (if it works :))
anonymous

Soft Robotics Toolkit - 0 views

  •  
    Interesting toolkit/resources page for actual creation of soft robots.
LeopoldS

BBC News - Robovie PC robot wins marathon in Osaka, Japan - 2 views

  •  
    not very impressive if this is the best of robotics ... or only a promotion tournament?
LeopoldS

Romo- The Smartphone Robot by Romotive - Kickstarter - 3 views

  •  
    Could we use this for swarm robotics research?
Dario Izzo

Miguel Nicolelis Says the Brain Is Not Computable, Bashes Kurzweil's Singularity | MIT ... - 9 views

  •  
    As I said ten years ago and psychoanalysts 100 years ago. Luis I am so sorry :) Also ... now that the commission funded the project blue brain is a rather big hit Btw Nicolelis is a rather credited neuro-scientist
  • ...14 more comments...
  •  
    nice article; Luzi would agree as well I assume; one aspect not clear to me is the causal relationship it seems to imply between consciousness and randomness ... anybody?
  •  
    This is the same thing Penrose has been saying for ages (and yes, I read the book). IF the human brain proves to be the only conceivable system capable of consciousness/intelligence AND IF we'll forever be limited to the Turing machine type of computation (which is what the "Not Computable" in the article refers to) AND IF the brain indeed is not computable, THEN AI people might need to worry... Because I seriously doubt the first condition will prove to be true, same with the second one, and because I don't really care about the third (brains is not my thing).. I'm not worried.
  •  
    In any case, all AI research is going in the wrong direction: the mainstream is not on how to go beyond Turing machines, rather how to program them well enough ...... and thats not bringing anywhere near the singularity
  •  
    It has not been shown that intelligence is not computable (only some people saying the human brain isn't, which is something different), so I wouldn't go so far as saying the mainstream is going in the wrong direction. But even if that indeed was the case, would it be a problem? If so, well, then someone should quickly go and tell all the people trading in financial markets that they should stop using computers... after all, they're dealing with uncomputable undecidable problems. :) (and research on how to go beyond Turing computation does exist, but how much would you want to devote your research to a non existent machine?)
  •  
    [warning: troll] If you are happy with developing algorithms that serve the financial market ... good for you :) After all they have been proved to be useful for humankind beyond any reasonable doubt.
  •  
    Two comments from me: 1) an apparently credible scientist takes Kurzweil seriously enough to engage with him in polemics... oops 2) what worries me most, I didn't get the retail store pun at the end of article...
  •  
    True, but after Google hired Kurzweil he is de facto being taken seriously ... so I guess Nicolelis reacted to this.
  •  
    Crazy scientist in residence... interesting marketing move, I suppose.
  •  
    Unfortunately, I can't upload my two kids to the cloud to make them sleep, that's why I comment only now :-). But, of course, I MUST add my comment to this discussion. I don't really get what Nicolelis point is, the article is just too short and at a too popular level. But please realize that the question is not just "computable" vs. "non-computable". A system may be computable (we have a collection of rules called "theory" that we can put on a computer and run in a finite time) and still it need not be predictable. Since the lack of predictability pretty obviously applies to the human brain (as it does to any sufficiently complex and nonlinear system) the question whether it is computable or not becomes rather academic. Markram and his fellows may come up with a incredible simulation program of the human brain, this will be rather useless since they cannot solve the initial value problem and even if they could they will be lost in randomness after a short simulation time due to horrible non-linearities... Btw: this is not my idea, it was pointed out by Bohr more than 100 years ago...
  •  
    I guess chaos is what you are referring to. Stuff like the Lorentz attractor. In which case I would say that the point is not to predict one particular brain (in which case you would be right): any initial conditions would be fine as far as any brain gets started :) that is the goal :)
  •  
    Kurzweil talks about downloading your brain to a computer, so he has a specific brain in mind; Markram talks about identifying neural basis of mental diseases, so he has at least pretty specific situations in mind. Chaos is not the only problem, even a perfectly linear brain (which is not a biological brain) is not predictable, since one cannot determine a complete set of initial conditions of a working (viz. living) brain (after having determined about 10% the brain is dead and the data useless). But the situation is even worse: from all we know a brain will only work with a suitable interaction with its environment. So these boundary conditions one has to determine as well. This is already twice impossible. But the situation is worse again: from all we know, the way the brain interacts with its environment at a neural level depends on his history (how this brain learned). So your boundary conditions (that are impossible to determine) depend on your initial conditions (that are impossible to determine). Thus the situation is rather impossible squared than twice impossible. I'm sure Markram will simulate something, but this will rather be the famous Boltzmann brain than a biological one. Boltzman brains work with any initial conditions and any boundary conditions... and are pretty dead!
  •  
    Say one has an accurate model of a brain. It may be the case that the initial and boundary conditions do not matter that much in order for the brain to function an exhibit macro-characteristics useful to make science. Again, if it is not one particular brain you are targeting, but the 'brain' as a general entity this would make sense if one has an accurate model (also to identify the neural basis of mental diseases). But in my opinion, the construction of such a model of the brain is impossible using a reductionist approach (that is taking the naive approach of putting together some artificial neurons and connecting them in a huge net). That is why both Kurzweil and Markram are doomed to fail.
  •  
    I think that in principle some kind of artificial brain should be feasible. But making a brain by just throwing together a myriad of neurons is probably as promising as throwing together some copper pipes and a heap of silica and expecting it to make calculations for you. Like in the biological system, I suspect, an artificial brain would have to grow from a small tiny functional unit by adding neurons and complexity slowly and in a way that in a stable way increases the "usefulness"/fitness. Apparently our brain's usefulness has to do with interpreting inputs of our sensors to the world and steering the body making sure that those sensors, the brain and the rest of the body are still alive 10 seconds from now (thereby changing the world -> sensor inputs -> ...). So the artificial brain might need sensors and a body to affect the "world" creating a much larger feedback loop than the brain itself. One might argue that the complexity of the sensor inputs is the reason why the brain needs to be so complex in the first place. I never quite see from these "artificial brain" proposals in how far they are trying to simulate the whole system and not just the brain. Anyone? Or are they trying to simulate the human brain after it has been removed from the body? That might be somewhat easier I guess...
  •  
    Johannes: "I never quite see from these "artificial brain" proposals in how far they are trying to simulate the whole system and not just the brain." In Artificial Life the whole environment+bodies&brains is simulated. You have also the whole embodied cognition movement that basically advocates for just that: no true intelligence until you model the system in its entirety. And from that you then have people building robotic bodies, and getting their "brains" to learn from scratch how to control them, and through the bodies, the environment. Right now, this is obviously closer to the complexity of insect brains, than human ones. (my take on this is: yes, go ahead and build robots, if the intelligence you want to get in the end is to be displayed in interactions with the real physical world...) It's easy to dismiss Markram's Blue Brain for all their clever marketing pronouncements that they're building a human-level consciousness on a computer, but from what I read of the project, they seem to be developing a platfrom onto which any scientist can plug in their model of a detail of a detail of .... of the human brain, and get it to run together with everyone else's models of other tiny parts of the brain. This is not the same as getting the artificial brain to interact with the real world, but it's a big step in enabling scientists to study their own models on more realistic settings, in which the models' outputs get to effect many other systems, and throuh them feed back into its future inputs. So Blue Brain's biggest contribution might be in making model evaluation in neuroscience less wrong, and that doesn't seem like a bad thing. At some point the reductionist approach needs to start moving in the other direction.
  •  
    @ Dario: absolutely agree, the reductionist approach is the main mistake. My point: if you take the reductionsit approach, then you will face the initial and boundary value problem. If one tries a non-reductionist approach, this problem may be much weaker. But off the record: there exists a non-reductionist theory of the brain, it's called psychology... @ Johannes: also agree, the only way the reductionist approach could eventually be successful is to actually grow the brain. Start with essentially one neuron and grow the whole complexity. But if you want to do this, bring up a kid! A brain without body might be easier? Why do you expect that a brain detached from its complete input/output system actually still works. I'm pretty sure it does not!
  •  
    @Luzi: That was exactly my point :-)
ESA ACT

BBC NEWS | Technology | Smart future for swarming robots - 0 views

  •  
    Spot the ACT friends...
ESA ACT

BBC NEWS | Technology | 'Guessing' robots find their way - 0 views

shared by ESA ACT on 24 Apr 09 - Cached
  •  
    about robot localization
Christophe Praz

Small cube robots that self-assemble - 3 views

  •  
    Using the angular momentum transmitted by an internal flywheel as an impulse, these cubes can move, jump, roll across the ground and climb over and around one another. They stick together using a set of small magnets, smart !
  •  
    That is indeed a great way of using modular robots to build larger structures. I think we did bump into this some time back, but never really considered it much. Considering now the working group on structure assembling, I think we should add it to the list of building strategies and seriously consider it.
andreiaries

04.02.2010 - Researchers enable a robot to fold towels - 3 views

  •  
    Amazing what robots learn to do these days :). Any background music ideas for the video?
  •  
    Nice try, but humans are still better in it... on so many levels: http://www.youtube.com/watch?v=qzFwn064cFE
ESA ACT

Robot Helicopter Teaches Itself How to Fly | LiveScience - 0 views

  •  
    We had the idea with the mirror neurons!!! We should go on in doing something
Thijs Versloot

Artificially-intelligent Robot Scientist 'Eve' could boost search for new drugs - 4 views

  •  
    Eve, an artificially-intelligent 'robot scientist' could make drug discovery faster and much cheaper, say researchers writing in the Royal Society journal Interface. The team has demonstrated the success of the approach as Eve discovered that a compound shown to have anti-cancer properties might also be used in the fight against malaria.
  •  
    Unfortunately, "make drug discovery faster and much cheaper" actually means "increase profit margin for pharmaceutical companies"...
Nina Nadine Ridder

Roboticists learn to teach robots from babies - 2 views

  •  
    Babies learn about the world by exploring how their bodies move in space, grabbing toys, pushing things off tables and by watching and imitating what adults are doing. But when roboticists want to teach a robot how to do a task, they typically either write code or physically move a robot's arm or body to show it how to perform an action.
pablo_gomez

RMA: Rapid Motor Adaptation for Legged Robots - 0 views

  •  
    71 Arguments why the ACT needs legged robots and a pretty impressive work.
Francesco Biscani

Robot Uses 'Chaos Control' - Technology News - redOrbit - 4 views

  •  
    Of any interest to our AI gurus?
  •  
    okay this is posted now 3 times ;) congrats you were the first :)
LeopoldS

BBC NEWS | Technology | Call for debate on killer robots - 0 views

  •  
    for our AI guys ...
1 - 20 of 37 Next ›
Showing 20 items per page