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Archive for the ‘computing’ category: Page 780

Mar 3, 2016

Dr. Sarif, Or How I Learned To Stop Worrying And Love The Human Revolution

Posted by in categories: computing, existential risks, government

I am not in fact talking about the delightful Deus Ex game, but rather about the actual revolution in society and technology we are witnessing today. Pretty much every day I look at any news source, be it on cable news networks or facebook feeds or whathaveyou, I always see fear mongering. “Implantable chips will let the government track you!” or “Hackers will soon be able to steal your thoughts!” (Seriously, seen both of these and much more and much crazier.) …But I’m here to tell you two things. First, calm the hell down. Nearly every doomsday scenario painted by fear-mongering assholes is either impossible or so utterly unlikely as to be effectively impossible. And second… that you should psych the hell up because its actually extremely exciting and worth getting excited about. But for good reasons, not bad.

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Mar 2, 2016

Penn philosopher sheds new light on robots, artificial intelligence

Posted by in categories: computing, robotics/AI

Very glad to see this article released. When I look at technology I have to look at their value (short & long term), cost & time to develop, usability and adoption potential, and risks & liability as well as their revenue potential & longevity in the market. In order for robots to have broader adoption by consumers and longevity in the future; development groups will need to design & develop robots that are more personable & multi-functional for consumers and companies. We still have a long ways to go.


What role does a philosopher play in building robots? If you’re Lisa Miracchi, an assistant professor in the Department of Philosophy in the School of Arts & Sciences, more than you might think.

When scholars began studying human intelligence, Miracchi says two schools of thought emerged: One group said human beings are simply computers, with mental states and actions explained in computational terms. The other camp believed that intelligence and the ability to think makes humans more than just computers.

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Mar 2, 2016

Western Digital’s 8TB hard drives mix helium with mammoth storage

Posted by in category: computing

Western Digital’s bringing big-time storage to NAS boxes and external drives with new helium-filled 8TB hard drives.

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Mar 1, 2016

DJI’s revolutionary Phantom 4 drone can dodge obstacles and track humans

Posted by in categories: computing, drones, robotics/AI, transportation

When The Verge began covering “drones” three years ago, we got a lot of grief about using that word: drone. These were just remote control toys, they couldn’t fly themselves! When drones got smart enough to navigate using GPS, and to follow people around, the naysayers pointed out they still couldn’t see anything. It could follow you, sure, but not while avoiding trees. At CES the last two years we finally saw drones that could sense and avoid real-world obstacles. But those were just tech demos, R&D projects which so far haven’t been made commercially available.

That all changes today with the introduction of DJI’s new drone, the Phantom 4. It’s the first consumer unit that can see the world around it and adjust accordingly, the next big step towards a truly autonomous aircraft. Try and drive it into a wall, the Phantom 4 will put on the brakes. If you ask it to fly from your position to a spot across a river, and there is a bridge in between, it will make a judgement call: increase speed to clear the obstacle or, if that isn’t possible, stop and hover in place, awaiting your next command.

The Phantom 4 accomplishes this feat with the help of five cameras: two on the front and two on the bottom, plus the main 4K camera that has always been onboard to capture video. The images captured by these cameras are run through computer vision software which constructs a 3D model of the world around it that the drone can intelligently navigate.

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Mar 1, 2016

There Will Be Netflix on Mars

Posted by in categories: computing, internet, space

How Legos, lasers, and reindeer are building the interplanetary internet.

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Mar 1, 2016

Scott Aaronson On The Relevance Of Quantum Mechanics To Brain Preservation, Uploading, And Identity

Posted by in categories: computing, mathematics, neuroscience, quantum physics

Biography : Scott Aaronson is an Associate Professor of Electrical Engineering and Computer Science at MIT. His research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally. He also has written about consciousness and personal identity and the relevance of quantum mechanics to these issues.

Michael Cerullo: Thanks for taking the time to talk with me. Given the recent advances in brain preservation, questions of personal identity are moving from merely academic to extremely practical questions. I want to focus on your ideas related to the relevance of quantum mechanics to consciousness and personal identity which are found in your paper “Ghost in the Quantum Turing Machine” ( http://arxiv.org/abs/1306.0159 ), your blog “Could a Quantum Computer Have Subjective Experience?” ( http://www.scottaaronson.com/blog/?p=1951 ), and your book “Quantum Computing since Democritus” ( http://www.scottaaronson.com/democritus/) .

Before we get to your own speculations in this field I want to review some of the prior work of Roger Penrose and Stuart Hameroff ( http://www.quantumconsciousness.org/content/hameroff-penrose…-or-theory ). Let me try to summarize some of the criticism of their work (including some of your own critiques of their theory). Penrose and Hameroff abandon conventional wisdom in neuroscience (i.e. that neurons are the essential computational element in the brain) and instead posit that the microtubules (which conventional neuroscience tell us are involved in nucleic and cell division, organization of intracellular structure, and intracellular transport, as well as ciliary and flagellar motility) are an essential part of the computational structure of the brain. Specifically, they claim the microtubules are quantum computers that grant a person the ability to perform non-computable computations (and Penrose claims these kinds of computations are necessary for things like mathematical understanding). The main critiques of their theory are: it relies on future results in quantum gravity that don’t exist; there is no empirical evidence that microtubules are relevant to the function of the brain; work in quantum decoherence also makes it extremely unlikely that the brain is a quatum computer; even if a brain could somehow compute non-computable functions it isn’t clear what this has to do with consciousness. Would you say these are fair criticisms of their theory and are there any other criticisms you see as relevant?

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Mar 1, 2016

Tiny Radar Camera Microchip Packs A Big Punch

Posted by in categories: computing, electronics, satellites

This tiny microchip effectively allows for palm-sized radar cameras.


In the future, radar cameras for use in satellites could be made a hundred times smaller with this millimeter-long chip, without compromising on image quality.

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Mar 1, 2016

Could protein-powered ‘biocomputers’ be the future of IT?

Posted by in categories: computing, materials, singularity

This does make it easier for the whole concept of Singularity to exist.


Scientists prove we are tantalisingly close to creating the next generation of computer components made of organic living materials, as we move beyond Moore’s Law and into exotic new devices.

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Feb 29, 2016

Giant Viruses Feature Their Own Built-In Antivirus Software

Posted by in categories: biotech/medical, computing, particle physics

Computer illustration of the mimivirus particle. Credit Jose Antonio Penas. Mimiviruses are viruses so big they can actually be seen with the naked eye. European.

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Feb 29, 2016

Physicists promise a copper revolution in nanophotonics

Posted by in categories: computing, electronics, nanotechnology, physics

Researchers from the Moscow Institute of Physics and Technology (MIPT) have for the first time experimentally demonstrated that copper nanophotonic components can operate successfully in photonic devices – it was previously believed that only gold and silver components could do so. Copper components are not only just as good as components based on noble metals; they can also be easily implemented in integrated circuits using industry-standard fabrication processes. “This is a kind of revolution – using copper will solve one of the main problems in nanophotonics,” say the authors of the paper. The results have been published in the scientific journal Nano Letters.

The discovery, which is revolutionary for photonics and the computers of the future, was made by researchers from the Laboratory of Nanooptics and Plasmonics at MIPT’s Centre of Nanoscale Optoelectronics. They have succeeded, for the first time, in producing copper nanophotonic components, whose characteristics are just as good as those of gold components. It is interesting to note that the scientists fabricated the copper components using the process compatible with the industry-standard manufacturing technologies that are used today to produce modern . This means that in the very near future copper nanophotonic components will form a basis for the development of energy-efficient light sources, ultra-sensitive sensors, as well as high-performance optoelectronic processors with several thousand cores.

The discovery was made under what is known as nanophotonics – a branch of research which aims, among other things, to replace existing components in data processing devices with more modern components by using photons instead of electrons. However, while transistors can be scaled down in size to a few nanometres, the diffraction of light limits the minimum dimensions of photonic components to the size of about the light wavelength (~1 micrometre). Despite the fundamental nature of this so-called , one can overcome it by using metal-dielectric structures to create truly nanoscale photonic components. Firstly, most metals show a negative permittivity at optical frequencies, and light cannot propagate through them, penetrating to a depth of only 25 nanometres. Secondly, light may be converted into surface plasmon polaritons, surface waves propagating along the surface of a metal. This makes it possible to switch from conventional 3D photonics to 2D surface plasmon photonics, which is known as plasmonics. This offers the possibility of controlling light at a scale of around 100 nanometres, i.e., far beyond the diffraction limit.

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