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πŸ”— Intel Skulltrail

πŸ”— Intel

Intel's Skulltrail is an enthusiast gaming platform that was released on February 19, 2008. It is based on the company's 5400 "Seaburg" workstation chipset. The primary difference between Skulltrail and Intel's current and past enthusiast chipsets is a dual CPU socket design that allows two processors to operate on the same motherboard. Therefore, Skulltrail can operate eight processing cores on one system. The platform supports two Core 2 Extreme QX9775 processors (commonly mistaken for the Core 2 Extreme QX9770, which is the LGA775 counterpart), which operate at 3.2Β GHz.

Skulltrail was one of the first platforms to support SLI on chipsets not designed by Nvidia. It achieves this by including two NVIDIA nForce 100 PCIe 1.1 switch (two x16 to one x16) chips. The implementation of SLI supports Quad SLI technology, which is achieved through the use of two dual-GPU graphics cards from NVIDIA, including the GeForce 9800 GX2. This gives a total of four graphics processors. Owners of Skulltrail systems can also make use of up to four ATI graphics cards using ATI CrossFireX technology, which made SkullTrail the only platform (other than Intel X58 and P55 Chipset) to support both SLI and CrossFire with public drivers at the time of release. The HP Firebird 803 also supported SLI on one (proprietary, MXM) motherboard at the time, but the drivers were special and only available for Firebird hardware.

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πŸ”— Dunning–Kruger Effect

The Dunning–Kruger effect is a cognitive bias in which people with low ability at a task overestimate their ability. It is related to the cognitive bias of illusory superiority and comes from people's inability to recognize their lack of ability. Without the self-awareness of metacognition, people cannot objectively evaluate their level of competence.

As described by social psychologists David Dunning and Justin Kruger, the bias results from an internal illusion in people of low ability and from an external misperception in people of high ability; that is, "the miscalibration of the incompetent stems from an error about the self, whereas the miscalibration of the highly competent stems from an error about others". Colloquially, people experiencing this bias are said to be "on Mount Stupid".

But in spite of the inherent appeal of Dunning and Kruger's claimed results, which align with many people's just world theories, their conclusions are strongly challenged when subjected to mathematical analysis and comparisons across cultures.

πŸ”— FedNow

πŸ”— United States πŸ”— Economics πŸ”— Politics πŸ”— Politics/American politics

FedNow is an instant payment service developed by the Federal Reserve for depository institutions in the United States, which allows individuals and businesses to send and receive money. The service launched on July 20, 2023. Banks will be able to build products on top of the FedNow platform.

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πŸ”— Storm Oil

πŸ”— Ships

Storm oil is the deliberate use of oil to calm an area of water. It has been claimed that it has been used to calm seas to facilitate rescues. Oil was usually carried in a bag which would be released onto the water or in a container which would slowly deploy the oil.

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πŸ”— Seam Carving

πŸ”— Computing

Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL. It functions by establishing a number of seams (paths of least importance) in an image and automatically removes seams to reduce image size or inserts seams to extend it. Seam carving also allows manually defining areas in which pixels may not be modified, and features the ability to remove whole objects from photographs.

The purpose of the algorithm is image retargeting, which is the problem of displaying images without distortion on media of various sizes (cell phones, projection screens) using document standards, like HTML, that already support dynamic changes in page layout and text but not images.

Image Retargeting was invented by Vidya Setlur, Saeko Takage, Ramesh Raskar, Michael Gleicher and Bruce Gooch in 2005. The work by Setlur et al. won the 10-year impact award in 2015.

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πŸ”— Companies of the United States with untaxed profits

πŸ”— United States πŸ”— Companies πŸ”— Taxation

Companies of the United States with untaxed profits deals with those U.S. companies whose offshore subsidiaries earn profits which are retained in foreign countries to defer paying U.S. corporate tax. The profits of United States corporations are subject to a federal corporate tax rate of 21%. In principle, the tax is payable on all profits of corporations, whether earned domestically or abroad. However, overseas subsidiaries of U.S. corporations are entitled to a tax deferral of profits on active income until repatriated to the U.S., and are regarded as untaxed. When repatriated, the corporations are entitled to a foreign tax credit for taxes (if any) paid in foreign countries.

Retaining such profits offshore may be regarded as a tax strategy. Many corporations have accumulated substantial untaxed profits offshore, especially in countries with low corporate tax rates. In recent years it has been estimated that untaxed profits range from US$1.6 to $2.1 trillion. The Wall Street Journal noted that the "[u]ntaxed foreign earnings are part of a contentious debate over U.S. fiscal policy and tax code." The profits earned abroad and retained there are subject to a foreign exchange risk, besides other financial risks.

The downside of a strategy of retaining profits offshore is that corporations may want or need to pay dividends to shareholders, or to make investments in the United States, besides other reasons. The alternative may be to borrow funds in the U.S., or access the funds retained offshore in the form of inter-company loans.

The Tax Cuts and Jobs Act of 2017 (TCJA) imposed a one time tax on these offshore profits at 8% (non-cash) and 15.5% (cash) respectively. The Act also includes a provision that taxes all foreign profits in the US in the year they are earned ending the ability of US companies to defer paying US tax on unrepatriated earnings.

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πŸ”— Greco-Buddhism

πŸ”— Religion πŸ”— Classical Greece and Rome πŸ”— Greece πŸ”— India πŸ”— Pakistan πŸ”— Buddhism πŸ”— India/Indian history workgroup πŸ”— Pakistan/Pakistani history

Greco-Buddhism, or Graeco-Buddhism, is the cultural syncretism between Hellenistic culture and Buddhism, which developed between the 4th century BC and the 5th century AD in Gandhara, in present-day north-western Pakistan and parts of north-east Afghanistan.

It was a cultural consequence of a long chain of interactions begun by Greek forays into the Indian subcontinent from the time of Alexander the Great. A few years after Alexander's death, the Easternmost fringes of the empire of his general Seleucus were lost in a war with the Mauryan Empire, under the reign of Chandragupta Maurya. The Mauryan Emperor Ashoka would convert to Buddhism and spread the religious philosophy throughout his domain, as recorded in the Edicts of Ashoka. This spread to the Greco-Bactrian kingdom, which itself seceded from the Seleucid empire. Within its borders, the Greek fondness for statuary produced the first statues of the Buddha, leading ultimately to the modern tradition.

Following the collapse of the Mauryan Empire, Greco-Buddhism continued to flourish under the Greco-Bactrian Kingdom, Indo-Greek Kingdoms, and Kushan Empire. Mahayana Buddhism was spread from the Gangetic plains in India into Gandhara and then Central Asia during the Mauryan Era, where it became the most prevalent branch of Buddhism in Central Asia. Mahayana Buddhism was later transmitted through the Silk Road into the Han Dynasty during the Kushan era under the reign of Emperor Kanishka. Buddhist tradition details the monk, Majjhantika of Varanasi, was made responsible for spreading Buddhism in the region by Emperor Ashoka.

πŸ”— Proving something exists nonconstructively using probability.

πŸ”— Mathematics

The probabilistic method is a nonconstructive method, primarily used in combinatorics and pioneered by Paul ErdΕ‘s, for proving the existence of a prescribed kind of mathematical object. It works by showing that if one randomly chooses objects from a specified class, the probability that the result is of the prescribed kind is strictly greater than zero. Although the proof uses probability, the final conclusion is determined for certain, without any possible error.

This method has now been applied to other areas of mathematics such as number theory, linear algebra, and real analysis, as well as in computer science (e.g. randomized rounding), and information theory.

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πŸ”— Shor's algorythm

πŸ”— Mathematics πŸ”— Physics

Shor's algorithm is a polynomial-time quantum computer algorithm for integer factorization. Informally, it solves the following problem: Given an integer N {\displaystyle N} , find its prime factors. It was invented in 1994 by the American mathematician Peter Shor.

On a quantum computer, to factor an integer N {\displaystyle N} , Shor's algorithm runs in polynomial time (the time taken is polynomial in log ⁑ N {\displaystyle \log N} , the size of the integer given as input). Specifically, it takes quantum gates of order O ( ( log ⁑ N ) 2 ( log ⁑ log ⁑ N ) ( log ⁑ log ⁑ log ⁑ N ) ) {\displaystyle O\!\left((\log N)^{2}(\log \log N)(\log \log \log N)\right)} using fast multiplication, thus demonstrating that the integer-factorization problem can be efficiently solved on a quantum computer and is consequently in the complexity class BQP. This is almost exponentially faster than the most efficient known classical factoring algorithm, the general number field sieve, which works in sub-exponential time β€” O ( e 1.9 ( log ⁑ N ) 1 / 3 ( log ⁑ log ⁑ N ) 2 / 3 ) {\displaystyle O\!\left(e^{1.9(\log N)^{1/3}(\log \log N)^{2/3}}\right)} . The efficiency of Shor's algorithm is due to the efficiency of the quantum Fourier transform, and modular exponentiation by repeated squarings.

If a quantum computer with a sufficient number of qubits could operate without succumbing to quantum noise and other quantum-decoherence phenomena, then Shor's algorithm could be used to break public-key cryptography schemes, such as the widely used RSA scheme. RSA is based on the assumption that factoring large integers is computationally intractable. As far as is known, this assumption is valid for classical (non-quantum) computers; no classical algorithm is known that can factor integers in polynomial time. However, Shor's algorithm shows that factoring integers is efficient on an ideal quantum computer, so it may be feasible to defeat RSA by constructing a large quantum computer. It was also a powerful motivator for the design and construction of quantum computers, and for the study of new quantum-computer algorithms. It has also facilitated research on new cryptosystems that are secure from quantum computers, collectively called post-quantum cryptography.

In 2001, Shor's algorithm was demonstrated by a group at IBM, who factored 15 {\displaystyle 15} into 3 Γ— 5 {\displaystyle 3\times 5} , using an NMR implementation of a quantum computer with 7 {\displaystyle 7} qubits. After IBM's implementation, two independent groups implemented Shor's algorithm using photonic qubits, emphasizing that multi-qubit entanglement was observed when running the Shor's algorithm circuits. In 2012, the factorization of 15 {\displaystyle 15} was performed with solid-state qubits. Also, in 2012, the factorization of 21 {\displaystyle 21} was achieved, setting the record for the largest integer factored with Shor's algorithm.

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πŸ”— The Volfefe Index

πŸ”— Finance & Investment πŸ”— Economics πŸ”— Business πŸ”— Psychology

The Volfefe Index is a stock market index of volatility in market sentiment for US Treasury bonds caused by tweets by President Donald Trump.

Bloomberg News observed Volfefe was created due to the statistical significance of Trump tweets on bond prices. ABC News Online posited Volfefe could help analyze interest rate risk in the face of "unpredictable" activity on social media by Trump.

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