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🔗 United States/U.S. Government 🔗 United States 🔗 Law 🔗 Lists

A national emergency is a situation in which a government is empowered to perform actions not normally permitted. The 1976 National Emergencies Act implemented various legal requirements regarding emergencies declared by the President of the United States.

Between the enactment of the National Emergencies Act in 1976 through March 13, 2020, 61 emergencies have been declared; 27 have expired while 34 are currently in effect, each having been renewed annually by the president.

🔗 Aviation 🔗 Military history 🔗 Military history/Military aviation 🔗 Military history/North American military history 🔗 Military history/United States military history 🔗 Aviation/Aviation accident 🔗 Aviation/aircraft 🔗 Military history/Cold War 🔗 Greenland

The Kee Bird was a United States Army Air Forces Boeing B-29 Superfortress, serial 45-21768, of the 46th Reconnaissance Squadron, that became marooned after making an emergency landing in northwest Greenland during a secret Cold War spying mission on 21 February 1947. While the entire crew was safely evacuated after spending three days in the isolated Arctic tundra, the aircraft itself was left at the landing site. It lay there undisturbed until 1994, when a privately funded mission was launched to repair and return it. During the attempted recovery, a fire broke out, resulting in the destruction and loss of the airframe on the ground.

🔗 Statistics

In probability theory, the Chinese restaurant process is a discrete-time stochastic process, analogous to seating customers at tables in a Chinese restaurant. Imagine a Chinese restaurant with an infinite number of circular tables, each with infinite capacity. Customer 1 sits at the first table. The next customer either sits at the same table as customer 1, or the next table. This continues, with each customer choosing to either sit at an occupied table with a probability proportional to the number of customers already there (i.e., they are more likely to sit at a table with many customers than few), or an unoccupied table. At time n, the n customers have been partitioned among m ≤ n tables (or blocks of the partition). The results of this process are exchangeable, meaning the order in which the customers sit does not affect the probability of the final distribution. This property greatly simplifies a number of problems in population genetics, linguistic analysis, and image recognition.

David J. Aldous attributes the restaurant analogy to Jim Pitman and Lester Dubins in his 1983 book.

🔗 Genetics 🔗 Evolutionary biology

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.

🔗 Statistics

Nelson rules are a method in process control of determining if some measured variable is out of control (unpredictable versus consistent). Rules, for detecting "out-of-control" or non-random conditions were first postulated by Walter A. Shewhart in the 1920s. The Nelson rules were first published in the October 1984 issue of the Journal of Quality Technology in an article by Lloyd S Nelson.

The rules are applied to a control chart on which the magnitude of some variable is plotted against time. The rules are based on the mean value and the standard deviation of the samples.

The above eight rules apply to a chart of a variable value.

A second chart, the moving range chart, can also be used but only with rules 1, 2, 3 and 4. Such a chart plots a graph of the maximum value - minimum value of N adjacent points against the time sample of the range.

An example moving range: if N = 3 and values are 1, 3, 5, 3, 3, 2, 4, 5 then the sets of adjacent points are (1,3,5) (3,5,3) (5,3,3) (3,3,2) (3,2,4) (2,4,5) resulting in moving range values of (5-1) (5-3) (5-3) (3-2) (4-2) (5-2) = 4, 2, 2, 1, 2, 3.

Applying these rules indicates when a potential "out of control" situation has arisen. However, there will always be some false alerts and the more rules applied the more will occur. For some processes, it may be beneficial to omit one or more rules. Equally there may be some missing alerts where some specific "out of control" situation is not detected. Empirically, the detection accuracy is good.

🔗 United States

The United States government's Strategic Computing Initiative funded research into advanced computer hardware and artificial intelligence from 1983 to 1993. The initiative was designed to support various projects that were required to develop machine intelligence in a prescribed ten-year time frame, from chip design and manufacture, computer architecture to artificial intelligence software. The Department of Defense spent a total of $1 billion on the project.

The inspiration for the program was Japan's fifth generation computer project, an enormous initiative that set aside billions for research into computing and artificial intelligence. As with Sputnik in 1957, the American government saw the Japanese project as a challenge to its technological dominance. The British government also funded a program of their own around the same time, known as Alvey, and a consortium of U.S. companies funded another similar project, the Microelectronics and Computer Technology Corporation.

The goal of SCI, and other contemporary projects, was nothing less than full machine intelligence. "The machine envisioned by SC", according to Alex Roland and Philip Shiman, "would run ten billion instructions per second to see, hear, speak, and think like a human. The degree of integration required would rival that achieved by the human brain, the most complex instrument known to man."

The initiative was conceived as an integrated program, similar to the Apollo moon program, where different subsystems would be created by various companies and academic projects and eventually brought together into a single integrated system. Roland and Shiman wrote that "While most research programs entail tactics or strategy, SC boasted grand strategy, a master plan for an entire campaign."

The project was funded by the Defense Advanced Research Projects Agency and directed by the Information Processing Technology Office (IPTO). By 1985 it had spent $100 million, and 92 projects were underway at 60 institutions: half in industry, half in universities and government labs. Robert Kahn, who directed IPTO in those years, provided the project with its early leadership and inspiration. Clint Kelly managed the SC Initiative for three years and developed many of the specific application programs for DARPA, such as the Autonomous Land Vehicle.

By the late 1980s, it was clear that the project would fall short of realizing the hoped-for levels of machine intelligence. Program insiders pointed to issues with integration, organization, and communication. When Jack Schwarz ascended to the leadership of IPTO in 1987, he cut funding to artificial intelligence research (the software component) "deeply and brutally", "eviscerating" the program (wrote Pamela McCorduck). Schwarz felt that DARPA should focus its funding only on those technologies which showed the most promise. In his words, DARPA should "surf", rather than "dog paddle", and he felt strongly AI was not "the next wave".

Although the program failed to meet its goal of high-level machine intelligence, it did meet some of its specific technical objectives, for example those of autonomous land navigation. The Autonomous Land Vehicle program and its sister Navlab project at Carnegie Mellon University, in particular, laid the scientific and technical foundation for many of the driverless vehicle programs that came after it, such as the Demo II and III programs (ALV being Demo I), Perceptor, and the DARPA Grand Challenge. The use of video cameras plus laser scanners and inertial navigation units pioneered by the SCI ALV program form the basis of almost all commercial driverless car developments today. It also helped to advance the state of the art of computer hardware to a considerable degree. On the software side, the initiative funded development of the Dynamic Analysis and Replanning Tool, a program that handled logistics using artificial intelligence techniques. This was a huge success, saving the Department of Defense billions during Desert Storm.

The project was superseded in the 1990s by the Accelerated Strategic Computing Initiative and then by the Advanced Simulation and Computing Program. These later programs did not include artificial general intelligence as a goal, but instead focused on supercomputing for large scale simulation, such as atomic bomb simulations. The Strategic Computing Initiative of the 1980s is distinct from the 2015 National Strategic Computing Initiative—the two are unrelated.

🔗 Telecommunications

Through-the-Earth (TTE) signalling is a type of radio signalling used in mines and caves that uses low-frequency waves to penetrate dirt and rock, which are opaque to higher-frequency conventional radio signals.

In mining, these lower-frequency signals can be relayed underground through various antennas, repeater or mesh configurations, but communication is restricted to line of sight to these antenna and repeaters systems.

🔗 Technology 🔗 Internet culture 🔗 Visual arts 🔗 Computer graphics 🔗 Artificial Intelligence

Slop is low-quality media—including writing and images—made using generative artificial intelligence technology. Coined in the 2020s, the term has a derogatory connotation akin to "spam".

It has been variously defined as "digital clutter", "filler content produced by AI tools that prioritize speed and quantity over substance and quality", and "shoddy or unwanted AI content in social media, art, books and, increasingly, in search results".

Jonathan Gilmore, Professor of Philosophy at the City University of New York, describes the "incredibly banal, realistic style" of AI slop as being "very easy to process".

🔗 Food and drink 🔗 Iceland

Although Iceland is reliant upon fishing, tourism and aluminium production as the mainstays of its economy, the production of vegetables and fruit in greenhouses is a growing sector. Until the 1960s this included commercial production of bananas.

In 1941, the first bananas in Iceland were produced. They have been produced since that time, about 100 clusters a year each about 5–20 kg (11–44 lb), but are not currently sold. In the wake of World War II, the combination of inexpensive geothermal power (which had recently become available) and high prices for imported fruit led to the construction of a number of greenhouses where bananas were produced commercially from 1945 to as late as 1958 or 1959. In 1960, the government removed import duties on fruit. Domestically grown bananas were no longer able to compete with imported ones and soon disappeared from the market. Icelandic banana production was much slower due to low levels of sunlight; Icelandic bananas took two years to mature, while it only takes a few months near the equator.

The urban myth that Iceland is Europe’s largest producer or exporter of bananas has been propagated in various books and other media. It was mentioned, in an episode of the BBC quiz programme QI, and on a forum connected with the show. According to FAO statistics, the largest European producer of bananas is France (in Martinique and Guadeloupe), followed by Spain (primarily in the Canary Islands). Other banana-producing countries in Europe include Portugal (on Madeira), Greece, and Italy.

Although a small number of banana plants still exist in greenhouses and produce fruit every year, Iceland imports nearly all of the bananas consumed in the country, with imports now amounting to over 18 kg (40 lb) per capita per annum. The Agricultural University of Iceland maintains the last such farm with 600-700 banana plants in its tropical greenhouse, which were received as donations from producers when they shut down (then the Horticultural College). Bananas grown there are consumed by the students and staff and are not sold.

🔗 Death 🔗 Classical Greece and Rome 🔗 Women's History

Laudatio Turiae ("In praise of Turia") is a tombstone engraved with a carved epitaph that is a husband's eulogy of his wife. It was made in the late 1st century BC. It portrays the love of a husband for his loyal wife.