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Moravec's paradox

Moravec's paradox
Moravec's paradox is the discovery by artificial intelligence and robotics researchers that, contrary to traditional assumptions, high-level reasoning requires very little computation, but low-level sensorimotor skills require enormous computational resources. The principle was articulated by Hans Moravec, Rodney Brooks, Marvin Minsky and others in the 1980s. As Moravec writes, "it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility." Linguist and cognitive scientist Steven Pinker considers this the most significant discovery uncovered by AI researchers. In his book The Language Instinct, he writes: The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard. The biological basis of human skills[edit] As Moravec writes: See also[edit] Notes[edit] References[edit]

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Grey goo Grey goo (also spelled gray goo) is a hypothetical end-of-the-world scenario involving molecular nanotechnology in which out-of-control self-replicating robots consume all matter on Earth while building more of themselves,[1][2] a scenario that has been called ecophagy ("eating the environment").[3] The original idea assumed machines were designed to have this capability, while popularizations have assumed that machines might somehow gain this capability by accident. Definition[edit] The term was first used by molecular nanotechnology pioneer Eric Drexler in his book Engines of Creation (1986).

Introducing: Flickr PARK or BIRD tl;dr: Check it out at! We at Flickr are not ones to back down from a challenge. Especially when that challenge comes in webcomic form. And especially when that webcomic is xkcd. So, when we saw this xkcd comic we thought, “we’ve got to do that”:

The National Safety Commission Alerts: Nevada Legislature Votes On Driverless Cars Safety is No Accident. Visit the National Safety Commission - America's Safety Headquarters for driver safety information, auto recalls and teen safe driver tips. There has been a lot of hubbub over the recent passage by the Nevada legislature of a bill allowing operation of "autonomous" or driverless cars. Support for the bill was lobbied heavily by the internet giant Google who, it was disclosed last October, had been testing autonomous vehicles on California highways for some time; racking up more than 140,000 miles throughout the state in a fleet of autonomous vehicles. It should be noted that Nevada's Assembly Bill 511 doesn't actually give the go-ahead for autonomous vehicles but, instead, directs the state’s Department of Motor Vehicles (DMV) to adopt regulations concerning operation of autonomous vehicles. The Nevada DMV has a lot of work ahead.

Why the future doesn't need us While some critics have characterized Joy's stance as obscurantism or neo-Luddism, others share his concerns about the consequences of rapidly expanding technology.[1] Summary[edit] Joy argues that developing technologies provide a much greater danger to humanity than any technology before it has ever presented. In particular, he focuses on genetics, nanotechnology and robotics. He argues that 20th century technologies of destruction such as the nuclear bomb were limited to large governments, due to the complexity and cost of such devices, as well as the difficulty in acquiring the required materials. Google's AI Is Now Smart Enough to Play Atari Like the Pros Last year Google shelled out an estimated $400 million for a little-known artificial intelligence company called DeepMind. Since then, the company has been pretty tight-lipped about what’s been going on behind DeepMind’s closed doors, but here’s one thing we know for sure: There’s a professional videogame tester who’s pitted himself against DeepMind’s AI software in a kind of digital battle royale. The battlefield was classic videogames. And according to new research published today in the science magazine Nature, Google’s software did pretty well, smoking its human competitor in a range of Atari 2600 games like Breakout, Video Pinball, and Space Invaders and playing at pretty close to the human’s level most of the time.

Wheat and chessboard problem Empty chessboard If a chessboard were to have wheat placed upon each square such that one grain were placed on the first square, two on the second, four on the third, and so on (doubling the number of grains on each subsequent square), how many grains of wheat would be on the chessboard at the finish? The problem may be solved using simple addition. With 64 squares on a chessboard, if the number of grains doubles on successive squares, then the sum of grains on all 64 squares is: 1 + 2 + 4 + 8... and so forth for the 64 squares. The total number of grains equals 18,446,744,073,709,551,615, which is a much higher number than most people intuitively expect.

Infosphere Infosphere is a neologism composed of information and sphere. The word refers to an environment, like a biosphere, that is populated by informational entities called inforgs. While an example of the sphere of information is cyberspace, infospheres are not limited to purely online environments. History of the Infosphere[edit]

The Frame Problem 1. Introduction The frame problem originated as a narrowly defined technical problem in logic-based artificial intelligence (AI). But it was taken up in an embellished and modified form by philosophers of mind, and given a wider interpretation. The tension between its origin in the laboratories of AI researchers and its treatment at the hands of philosophers engendered an interesting and sometimes heated debate in the 1980s and 1990s.

Moore's law Moore's law is the observation that, over the history of computing hardware, the number of transistors on integrated circuits doubles approximately every two years. The law is named after Intel co-founder Gordon E. Moore, who described the trend in his 1965 paper.[1][2][3] His prediction has proven to be accurate, in part because the law is now used in the semiconductor industry to guide long-term planning and to set targets for research and development.[4] The capabilities of many digital electronic devices are strongly linked to Moore's law: processing speed, memory capacity, sensors and even the number and size of pixels in digital cameras.[5] All of these are improving at roughly exponential rates as well. This exponential improvement has dramatically enhanced the impact of digital electronics in nearly every segment of the world economy.[6] Moore's law describes a driving force of technological and social change in the late 20th and early 21st centuries.[7][8] History[edit]

Socotra Socotra (Arabic: سُقُطْرَى‎ Suquṭra), also spelled Soqotra, is a small archipelago of four islands in the Indian Ocean. The largest island, also called Socotra, is about 95% of the landmass of the archipelago. It lies some 240 kilometres (150 mi) east of the Horn of Africa and 380 kilometres (240 mi) south of the Arabian Peninsula.[2] The island is very isolated and a third of its plant life is found nowhere else on the planet. It has been described as "the most alien-looking place on Earth".

New Computer Programming Language Imitates The Human Brain It could be a computer, but I agree that it is not "certainly" a type of computer. We don't know enough about the human mind to categorize it as a computer. Computer: Programmable machine that can store, retrieve, and process data. We may have awesome computer brains...but they are still computers. Moore's Law to roll on for another decade Moore's Law will continue for at least another 10 years, according to Intel cofounder Gordon Moore, but it's going to take a lot of work. "Another decade is probably straightforward," Moore said, speaking at the International Solid-States Circuits Conference. "There is certainly no end to creativity." The conference, a gathering of top semiconductor researchers organized by an IEEE group, takes place in San Francisco this week. Moore's Law--which states that the number of transistors on a given chip can be doubled every two years--has been the guiding principle of progress in electronics and computing since Moore first formulated the famous dictum in 1965. And, for the same amount of time, people have predicted it would hit a wall.