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π Ray Kurzweil 2019 Predictions
American author, inventor and futurist Raymond Kurzweil has become well known for his predictions about artificial intelligence and the human species, mainly concerning the technological singularity. He predicts that Artificial Intelligence would outsmart the human brain in computational capabilities by mid-21st century. His first book, The Age of Intelligent Machines, published in 1990, put forth his theories on the results of the increasing use of technology and predicted the explosive growth in the internet, among other predictions. Later works, 1999's The Age of Spiritual Machines and 2005's The Singularity is Near outlined other theories including the rise of clouds of nano-robots (nanobots) called foglets and the development of Human Body 2.0 and 3.0, whereby nanotechnology is incorporated into many internal organs.
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- "Ray Kurzweil 2019 Predictions" | 2019-01-02 | 60 Upvotes 88 Comments
π Jumping Frenchmen of Maine
The Jumping Frenchmen of Maine were a group of 19th-century lumberjacks who exhibited a rare disorder of unknown origin. The syndrome entails an exaggerated startle reflex which may be described as an uncontrollable "jump"; individuals with this condition can exhibit sudden movements in all parts of the body. Jumping Frenchmen syndrome shares some symptoms with other startle disorders.
Individuals with this condition were first found in the Moosehead Lake region of Maine, and were first described by George Miller Beard in 1878.
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- "Jumping Frenchmen of Maine" | 2021-04-18 | 86 Upvotes 30 Comments
π KarTrak, a bar code system designed to automatically identify rail cars
KarTrak, sometimes KarTrak ACI (for Automatic Car Identification) is a colored bar code system designed to automatically identify rail cars and other rolling stock. KarTrak was made a requirement in North America, but technical problems led to abandonment of the system in the late 1970s.
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- "KarTrak, a bar code system designed to automatically identify rail cars" | 2014-08-31 | 11 Upvotes 1 Comments
π SHA-3 NIST announcement controversy
SHA-3 (Secure Hash Algorithm 3) is the latest member of the Secure Hash Algorithm family of standards, released by NIST on August 5, 2015. Although part of the same series of standards, SHA-3 is internally different from the MD5-like structure of SHA-1 and SHA-2.
SHA-3 is a subset of the broader cryptographic primitive family Keccak (), designed by Guido Bertoni, Joan Daemen, MichaΓ«l Peeters, and Gilles Van Assche, building upon RadioGatΓΊn. Keccak's authors have proposed additional uses for the function, not (yet) standardized by NIST, including a stream cipher, an authenticated encryption system, a "tree" hashing scheme for faster hashing on certain architectures, and AEAD ciphers Keyak and Ketje.
Keccak is based on a novel approach called sponge construction. Sponge construction is based on a wide random function or random permutation, and allows inputting ("absorbing" in sponge terminology) any amount of data, and outputting ("squeezing") any amount of data, while acting as a pseudorandom function with regard to all previous inputs. This leads to great flexibility.
NIST does not currently plan to withdraw SHA-2 or remove it from the revised Secure Hash Standard. The purpose of SHA-3 is that it can be directly substituted for SHA-2 in current applications if necessary, and to significantly improve the robustness of NIST's overall hash algorithm toolkit.
The creators of the Keccak algorithms and the SHA-3 functions suggest using the faster function KangarooTwelve with adjusted parameters and a new tree hashing mode without extra overhead for small message sizes.
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- "SHA-3 NIST announcement controversy" | 2014-07-20 | 77 Upvotes 33 Comments
π Spiegelman's Monster
Spiegelman's Monster is the name given to an RNA chain of only 218 nucleotides that is able to be reproduced by the RNA replication enzyme RNA-dependent RNA polymerase, also called RNA replicase. It is named after its creator, Sol Spiegelman, of the University of Illinois at Urbana-Champaign who first described it in 1965.
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- "Spiegelman's Monster" | 2016-06-06 | 125 Upvotes 34 Comments
π Pixel Art Scaling Algorithms
Pixel-art scaling algorithms are graphical filters that are often used in video game console emulators to enhance hand-drawn 2D pixel art graphics. The re-scaling of pixel art is a specialist sub-field of image rescaling.
As pixel-art graphics are usually in very low resolutions, they rely on careful placing of individual pixels, often with a limited palette of colors. This results in graphics that rely on a high amount of stylized visual cues to define complex shapes with very little resolution, down to individual pixels. This makes image scaling of pixel art a particularly difficult problem.
A number of specialized algorithms have been developed to handle pixel-art graphics, as the traditional scaling algorithms do not take such perceptual cues into account.
Since a typical application of this technology is improving the appearance of fourth-generation and earlier video games on arcade and console emulators, many are designed to run in real time for sufficiently small input images at 60 frames per second. This places constraints on the type of programming techniques that can be used for this sort of real-time processing. Many work only on specific scale factors: 2Γ is the most common, with 3Γ, 4Γ, 5Γ and 6Γ also present.
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- "Pixel Art Scaling Algorithms" | 2010-12-23 | 208 Upvotes 32 Comments
π Flynn Effect
The Flynn effect is the substantial and long-sustained increase in both fluid and crystallized intelligence test scores that were measured in many parts of the world over the 20th century, named after researcher James Flynn (1934β2020). When intelligence quotient (IQ) tests are initially standardized using a sample of test-takers, by convention the average of the test results is set to 100 and their standard deviation is set to 15 or 16 IQ points. When IQ tests are revised, they are again standardized using a new sample of test-takers, usually born more recently than the first; the average result is set to 100. When the new test subjects take the older tests, in almost every case their average scores are significantly above 100.
Test score increases have been continuous and approximately linear from the earliest years of testing to the present. For example, a study published in the year 2009 found that British children's average scores on the Raven's Progressive Matrices test rose by 14 IQ points from 1942 to 2008. Similar gains have been observed in many other countries in which IQ testing has long been widely used, including other Western European countries, as well as Japan and South Korea. Improvements have also been reported for semantic and episodic memory.
There are numerous proposed explanations of the Flynn effect, such as the rise in efficiency of education, along with skepticism concerning its implications. Some researchers have suggested the possibility of a mild reversal in the Flynn effect (i.e., a decline in IQ scores) in developed countries, beginning in the 1990s. In certain cases, this apparent reversal may be due to cultural changes rendering parts of intelligence tests obsolete. Meta-analyses indicate that, overall, the Flynn effect continues, either at the same rate, or at a slower rate in developed countries.
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- "Flynn Effect" | 2025-01-12 | 14 Upvotes 9 Comments
π Bookland
"Bookland" is the informal name for the Unique Country Code (UCC) prefix allocated in the 1980s for European Article Number (EAN) identifiers of published books, regardless of country of origin, so that the EAN namespace can catalogue books by ISBN rather than maintaining a redundant parallel numbering system. In other words, Bookland is a fictitious country that exists solely in EAN for the purposes of non-geographically cataloguing books in the otherwise geographically keyed EAN coding system.
π Daniel W. Dobberpuhl
Daniel "Dan" William Dobberpuhl (March 25, 1945Β β October 26, 2019) was an electrical engineer in the United States who led several teams of microprocessor designers.
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- "Daniel W. Dobberpuhl" | 2019-11-17 | 48 Upvotes 14 Comments
π Greta Thunberg
Greta Tintin Eleonora Ernman Thunberg (Swedish:Β [ΛΙ‘rΓͺΛta ΛtΚΜΛnbΓ¦rj] (listen); born 3 January 2003) is a Swedish environmental activist who has gained international recognition for promoting the view that humanity is facing an existential crisis arising from climate change. Thunberg is known for her youth and her straightforward speaking manner, both in public and to political leaders and assemblies, in which she criticizes world leaders for their failure to take sufficient action to address the climate crisis.
Thunberg's activism started after convincing her parents to adopt several lifestyle choices to reduce their own carbon footprint. In August 2018, at age 15, she started spending her school days outside the Swedish parliament to call for stronger action on climate change by holding up a sign reading Skolstrejk fΓΆr klimatet (School strike for climate). Soon, other students engaged in similar protests in their own communities. Together, they organised a school climate strike movement under the name Fridays for Future. After Thunberg addressed the 2018 United Nations Climate Change Conference, student strikes took place every week somewhere in the world. In 2019, there were multiple coordinated multi-city protests involving over a million students each. To avoid flying, Thunberg sailed to North America where she attended the 2019 UN Climate Action Summit. Her speech there, in which she exclaimed "how dare you", was widely taken up by the press and incorporated into music.
Her sudden rise to world fame has made her both a leader and a target for critics. Her influence on the world stage has been described by The Guardian and other newspapers as the "Greta effect". She has received numerous honours and awards including: honorary Fellowship of the Royal Scottish Geographical Society; Time magazine's 100 most influential people and the youngest Time Person of the Year; inclusion in the Forbes list of The World's 100 Most Powerful Women (2019) and two consecutive nominations for the Nobel Peace Prize (2019 and 2020).
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- "Greta Thunberg" | 2019-05-26 | 32 Upvotes 18 Comments