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🔗 Germany 🔗 Books 🔗 Politics 🔗 Women writers 🔗 Jewish history 🔗 Israel

Eichmann in Jerusalem: A Report on the Banality of Evil is a 1963 book by political thinker Hannah Arendt. Arendt, a Jew who fled Germany during Adolf Hitler's rise to power, reported on the trial of Adolf Eichmann, one of the major organizers of the Holocaust, for The New Yorker. A revised and enlarged edition was published in 1964.

🔗 Professional sound production 🔗 Stagecraft

The Schaffer–Vega diversity system (SVDS) was a wireless guitar system developed in 1975–76, engineered and prototyped by Ken Schaffer in New York City, and manufactured by the Vega Corporation, El Monte, California. A handheld microphone version was introduced in 1977.

The system was the first cordless system to be adopted by major rock acts because it solved technical problems common to earlier wireless systems. The reliable sound and freedom of movement it provided paved the way for bands to tour with large multi-level stages in arenas. Schaffer-Vegas were used in the late 1970s and early 1980s by many rock bands such as Pink Floyd (namely guitarist David Gilmour), the Rolling Stones, AC/DC and Kiss.

🔗 Military history 🔗 Military history/North American military history 🔗 Military history/United States military history 🔗 Military history/Military science, technology, and theory 🔗 Military history/Weaponry 🔗 Military history/Cold War

The W54 (also known as the Mark 54 or B54) was a tactical nuclear warhead developed by the United States in the late 1950s. The weapon is notable for being the smallest nuclear weapon in both weight and yield to have entered US service. It was a compact implosion device containing plutonium-239 as its fissile material, and in its various versions and mods it had a yield of 10 to 1,000 tons of TNT (42 to 4,184 gigajoules).

The weapon had two distinct versions: a warhead used in the AIM-26 Falcon air-to-air missile and in the Davy Crockett recoilless gun, and another used in the Special Atomic Demolition Munition (SADM) system, along with several mods for each version. The two types are distinct in that much of the design between them was different, to the point that during the development of the SADM it was proposed that it be given its own unique mark designation.

A later development was the W72, which was a rebuilt W54 used with the AGM-62 Walleye guided bomb. The W72 was in service until 1979.

🔗 Physiology 🔗 Molecular Biology 🔗 Physiology/cell 🔗 Molecular Biology/Molecular and Cell Biology

Peto's paradox is an observation that at the species level, the incidence of cancer does not appear to correlate with the number of cells in an organism. For example, the incidence of cancer in humans is much higher than the incidence of cancer in whales, despite whales having more cells than humans. If the probability of carcinogenesis were constant across cells, one would expect whales to have a higher incidence of cancer than humans. Peto's paradox is named after English statistician and epidemiologist Richard Peto, who first observed the connection.

🔗 Spaceflight 🔗 Europe

Cluster was a constellation of four European Space Agency spacecraft which were launched on the maiden flight of the Ariane 5 rocket, Flight 501, and subsequently lost when that rocket failed to achieve orbit. The launch, which took place on Tuesday, 4 June 1996, ended in failure due to multiple errors in the software design: Dead code (running, but purposeful so only for Ariane 4) with inadequate protection against integer overflow led to an exception handled inappropriately—halting the whole inertial navigation system that otherwise would have been unaffected. This resulted in the rocket veering off its flight path 37 seconds after launch, beginning to disintegrate under high aerodynamic forces, and finally self-destructing by its automated flight termination system. The failure has become known as one of the most infamous and expensive software bugs in history. The failure resulted in a loss of more than US$370 million.

🔗 Biography 🔗 Germany 🔗 Mexico 🔗 Biography/arts and entertainment 🔗 Anarchism

B. Traven (German: [ˈbeː ˈtʁaːvn̩]; Bruno Traven in some accounts) was the pen name of a presumably German novelist, whose real name, nationality, date and place of birth and details of biography are all subject to dispute. One of the few certainties about Traven's life is that he lived for years in Mexico, where the majority of his fiction is also set—including The Treasure of the Sierra Madre (1927). The film adaptation of the same name won three Academy Awards in 1948.

Virtually every detail of Traven's life has been disputed and hotly debated. There were many hypotheses on the true identity of B. Traven, some of them wildly fantastic. The person most commonly identified as Traven is Ret Marut, a German stage actor and anarchist who supposedly left Europe for Mexico around 1924 and who had edited an anarchist newspaper in Germany called Der Ziegelbrenner (The Brick Burner). Marut is thought to have operated under the "B. Traven" pseudonym, although no details are known about Marut's life before 1912, and many hold that "Ret Marut" was in fact also a pseudonym.

Some researchers further argue that Marut/Traven's original name was Otto Feige and that he was born in Schwiebus in Brandenburg, modern-day Świebodzin in Poland. This theory is not universally accepted. B. Traven in Mexico is also connected with the names of Berick Traven Torsvan and Hal Croves, both of whom appeared and acted in different periods of the writer's life. Both, however, denied being Traven and claimed that they were his literary agents only, representing him in contacts with his publishers.

B. Traven is the author of twelve novels, one book of reportage and several short stories, in which the sensational and adventure subjects combine with a critical attitude towards capitalism. B. Traven's best known works include the novels The Death Ship from 1926, The Treasure of the Sierra Madre from 1927 (filmed in 1948 by John Huston), and the so-called "Jungle Novels", also known as the Caoba cyclus (from the Spanish word caoba, meaning mahogany). The Jungle Novels are a group of six novels (including The Carreta and Government), published in the years 1930–1939 and set among Mexican Indians just before and during the Mexican Revolution in the early 20th century. B. Traven's novels and short stories became very popular as early as the interwar period and retained this popularity after the Second World War; they were also translated into many languages. Most of B. Traven's books were published in German first, with their English editions appearing later; nevertheless, the author always claimed that the English versions were the original ones and that the German versions were only their translations. This claim is mostly treated by Traven scholars as a diversion or a joke, although there are those who accept it.

🔗 Lists 🔗 Martial arts 🔗 Sumo

Kimarite (決まり手, "Deciding technique") are winning techniques in a sumo bout. For each bout in a Grand Sumo tournament (or honbasho), a sumo referee, or gyōji, will decide and announce the type of kimarite used by the winner. It is possible (although rare) for the judges to modify this decision later. Records of the kimarite are kept and statistical information on the preferred techniques of different wrestlers can be deduced easily. For example, a pie chart of the kimarite used by each sekitori in the past year can be found on the Japan Sumo Association webpage.

Since 2001, the Japan Sumo Association recognizes 82 types of kimarite (and 5 winning non-techniques), but only about a dozen are used regularly. For example, yorikiri, oshidashi and hatakikomi are frequent methods used to win bouts. In addition to kimarite, a bout can end in a disqualification if either wrestler makes a foul (禁手, kinjite), such as striking with a closed fist.

The following is a full list of kimarite. Literal translations of the Japanese are also given.

🔗 Biography 🔗 Computing

Francesco Vianello (30 August 1952 – 3 May 2009), better known by his nickname Fravia (sometimes +Fravia or Fravia+), was a software reverse engineer, and hacker, known for his web archive of reverse engineering techniques and papers. He is also known for his work on steganography. He had taught on subjects such as data mining, anonymity, stalking, klebing, advertisement reversing and ad-busting.

Fravia spoke six languages (including Latin) and had a degree in the history of the early Middle Ages. He was an expert in linguistics-related informatics. For five years he made available a large quantity of material related to reverse engineering through his website, which also hosted the advice of reverse engineering experts, known as reversers, who provided tutorials and essays on how to hack software code as well as advice related to the assembly and disassembly of applications, and software protection reversing.

Fravia was a professor at the High Cracking University (+HCU), founded by Old Red Cracker (+ORC), a legendary figure in reverse engineering, to conduct research into Reverse Code Engineering. The addition of the "+" sign in front of the nickname of a reverser signified membership in the +HCU. His website was known as "+Fravia's Pages of Reverse Engineering" and he used it to challenge programmers as well as the wider society to "reverse engineer" the "brainwashing of a corrupt and rampant materialism". In its heyday, his website was receiving millions of visitors per year and its influence was "widespread".

His web presence dates from 1995 when he first got involved in research related to reverse code engineering (RCE). In 2000 he changed his focus and concentrated on advanced internet search methods and the reverse engineering of search engine code.

His websites "www.fravia.com" and "www.searchlores.org" contained a large amount of specialised information related to data mining. His website "www.searchlores.org" has been called a "very useful instrument for searching the web", and his "www.fravia.com" site has been described as "required reading for any spy wanting to go beyond simple Google searches."

🔗 Computing

Project Denver is the codename of a microarchitecture designed by Nvidia that implements the ARMv8-A 64/32-bit instruction sets using a combination of simple hardware decoder and software-based binary translation (dynamic recompilation) where "Denver's binary translation layer runs in software, at a lower level than the operating system, and stores commonly accessed, already optimized code sequences in a 128 MB cache stored in main memory". Denver is a very wide in-order superscalar pipeline. Its design makes it suitable for integration with other SIPs cores (e.g. GPU, display controller, DSP, image processor, etc.) into one die constituting a system on a chip (SoC).

Project Denver is targeted at mobile computers, personal computers, servers, as well as supercomputers. Respective cores have found integration in the Tegra SoC series from Nvidia. Initially Denver cores was designed for the 28nm process node (Tegra model T132 aka "Tegra K1"). Denver 2 was an improved design that built for the smaller, more efficient 16nm node. (Tegra model T186 aka "Tegra X2").

In 2018, Nvidia released an improved design (codename: "Carmel", based on ARMv8 (64-bit; variant: ARM-v8.2 with 10-way superscalar, functional safety, dual execution, parity & ECC) got integrated into the Tegra Xavier SoC offering a total of 8 cores (or 4 dual-core pairs). The Carmel CPU core supports full Advanced SIMD (ARM NEON), VFP (Vector Floating Point), and ARMv8.2-FP16. First published testings of Carmel cores integrated in the Jetson AGX development kit by third party experts took place in September 2018 and indicated a noticeably increased performance as should expected for this real world physical manifestation compared to predecessors systems, despite all doubts the used quickness of such a test setup in general an in particular implies. The Carmel design can be found in the Tegra model T194 ("Tegra Xavier") that is designed with a 12 nm structure size.

🔗 United States/U.S. Government 🔗 United States 🔗 Technology 🔗 Computing 🔗 Systems 🔗 Cognitive science 🔗 Linguistics 🔗 Computing/Computer science 🔗 Robotics 🔗 Transhumanism 🔗 Linguistics/Applied Linguistics 🔗 Systems/Cybernetics

In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The term was coined by analogy to the idea of a nuclear winter. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or decades later.

The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the "American Association of Artificial Intelligence"). It is a chain reaction that begins with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. At the meeting, Roger Schank and Marvin Minsky—two leading AI researchers who had survived the "winter" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the 1980s and that disappointment would certainly follow. Three years later, the billion-dollar AI industry began to collapse.

Hype is common in many emerging technologies, such as the railway mania or the dot-com bubble. The AI winter was a result of such hype, due to over-inflated promises by developers, unnaturally high expectations from end-users, and extensive promotion in the media . Despite the rise and fall of AI's reputation, it has continued to develop new and successful technologies. AI researcher Rodney Brooks would complain in 2002 that "there's this stupid myth out there that AI has failed, but AI is around you every second of the day." In 2005, Ray Kurzweil agreed: "Many observers still think that the AI winter was the end of the story and that nothing since has come of the AI field. Yet today many thousands of AI applications are deeply embedded in the infrastructure of every industry."

Enthusiasm and optimism about AI has increased since its low point in the early 1990s. Beginning about 2012, interest in artificial intelligence (and especially the sub-field of machine learning) from the research and corporate communities led to a dramatic increase in funding and investment.