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Gary Edwards

Skynet rising: Google acquires 512-qubit quantum computer; NSA surveillance to be turne... - 0 views

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    "The ultimate code breakers" If you know anything about encryption, you probably also realize that quantum computers are the secret KEY to unlocking all encrypted files. As I wrote about last year here on Natural News, once quantum computers go into widespread use by the NSA, the CIA, Google, etc., there will be no more secrets kept from the government. All your files - even encrypted files - will be easily opened and read. Until now, most people believed this day was far away. Quantum computing is an "impractical pipe dream," we've been told by scowling scientists and "flat Earth" computer engineers. "It's not possible to build a 512-qubit quantum computer that actually works," they insisted. Don't tell that to Eric Ladizinsky, co-founder and chief scientist of a company called D-Wave. Because Ladizinsky's team has already built a 512-qubit quantum computer. And they're already selling them to wealthy corporations, too. DARPA, Northrup Grumman and Goldman Sachs In case you're wondering where Ladizinsky came from, he's a former employee of Northrup Grumman Space Technology (yes, a weapons manufacturer) where he ran a multi-million-dollar quantum computing research project for none other than DARPA - the same group working on AI-driven armed assault vehicles and battlefield robots to replace human soldiers. .... When groundbreaking new technology is developed by smart people, it almost immediately gets turned into a weapon. Quantum computing will be no different. This technology grants God-like powers to police state governments that seek to dominate and oppress the People.  ..... Google acquires "Skynet" quantum computers from D-Wave According to an article published in Scientific American, Google and NASA have now teamed up to purchase a 512-qubit quantum computer from D-Wave. The computer is called "D-Wave Two" because it's the second generation of the system. The first system was a 128-qubit computer. Gen two
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    Normally, I'd be suspicious of anything published by Infowars because its editors are willing to publish really over the top stuff, but: [i] this is subject matter I've maintained an interest in over the years and I was aware that working quantum computers were imminent; and [ii] the pedigree on this particular information does not trace to Scientific American, as stated in the article. I've known Scientific American to publish at least one soothing and lengthy article on the subject of chlorinated dioxin hazard -- my specialty as a lawyer was litigating against chemical companies that generated dioxin pollution -- that was generated by known closet chemical industry advocates long since discredited and was totally lacking in scientific validity and contrary to established scientific knowledge. So publication in Scientific American doesn't pack a lot of weight with me. But checking the Scientific American linked article, notes that it was reprinted by permission from Nature, a peer-reviewed scientific journal and news organization that I trust much more. That said, the InfoWars version is a rewrite that contains lots of information not in the Nature/Scientific American version of a sensationalist nature, so heightened caution is still in order. Check the reprinted Nature version before getting too excited: "The D-Wave computer is not a 'universal' computer that can be programmed to tackle any kind of problem. But scientists have found they can usefully frame questions in machine-learning research as optimisation problems. "D-Wave has battled to prove that its computer really operates on a quantum level, and that it is better or faster than a conventional computer. Before striking the latest deal, the prospective customers set a series of tests for the quantum computer. D-Wave hired an outside expert in algorithm-racing, who concluded that the speed of the D-Wave Two was above average overall, and that it was 3,600 times faster than a leading conventional comput
Gary Edwards

Wolfram Alpha is Coming -- and It Could be as Important as Google | Twine - 0 views

  • The first question was could (or even should) Wolfram Alpha be built using the Semantic Web in some manner, rather than (or as well as) the Mathematica engine it is currently built on. Is anything missed by not building it with Semantic Web's languages (RDF, OWL, Sparql, etc.)? The answer is that there is no reason that one MUST use the Semantic Web stack to build something like Wolfram Alpha. In fact, in my opinion it would be far too difficult to try to explicitly represent everything Wolfram Alpha knows and can compute using OWL ontologies. It is too wide a range of human knowledge and giant OWL ontologies are just too difficult to build and curate.
  • However for the internal knowledge representation and reasoning that takes places in the system, it appears Wolfram has found a pragmatic and efficient representation of his own, and I don't think he needs the Semantic Web at that level. It seems to be doing just fine without it. Wolfram Alpha is built on hand-curated knowledge and expertise. Wolfram and his team have somehow figured out a way to make that practical where all others who have tried this have failed to achieve their goals. The task is gargantuan -- there is just so much diverse knowledge in the world. Representing even a small segment of it formally turns out to be extremely difficult and time-consuming.
  • It has generally not been considered feasible for any one group to hand-curate all knowledge about every subject. This is why the Semantic Web was invented -- by enabling everyone to curate their own knowledge about their own documents and topics in parallel, in principle at least, more knowledge could be represented and shared in less time by more people -- in an interoperable manner. At least that is the vision of the Semantic Web.
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  • Where Google is a system for FINDING things that we as a civilization collectively publish, Wolfram Alpha is for ANSWERING questions about what we as a civilization collectively know. It's the next step in the distribution of knowledge and intelligence around the world -- a new leap in the intelligence of our collective "Global Brain." And like any big next-step, Wolfram Alpha works in a new way -- it computes answers instead of just looking them up.
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    A Computational Knowledge Engine for the Web In a nutshell, Wolfram and his team have built what he calls a "computational knowledge engine" for the Web. OK, so what does that really mean? Basically it means that you can ask it factual questions and it computes answers for you. It doesn't simply return documents that (might) contain the answers, like Google does, and it isn't just a giant database of knowledge, like the Wikipedia. It doesn't simply parse natural language and then use that to retrieve documents, like Powerset, for example. Instead, Wolfram Alpha actually computes the answers to a wide range of questions -- like questions that have factual answers such as "What country is Timbuktu in?" or "How many protons are in a hydrogen atom?" or "What is the average rainfall in Seattle this month?," "What is the 300th digit of Pi?," "where is the ISS?" or "When was GOOG worth more than $300?" Think about that for a minute. It computes the answers. Wolfram Alpha doesn't simply contain huge amounts of manually entered pairs of questions and answers, nor does it search for answers in a database of facts. Instead, it understands and then computes answers to certain kinds of questions.
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