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The Web Bot gained most of its notoriety for contributing to the 2012 phenomenon by predicting a cataclysm that would devastate the planet on 21 December 2012, possibly a reversing of Earth's magnetic poles or a small series of nuclear attacks leading up to a major attack during the year. The prediction did not call for a complete end of the world.
The Kerrison predictor did not calculate fuse settings, as the shells fired by the 40 mm Bofors gun, with which it was designed to work, were contact-fused. [4] The Predictor proved to be able to hit practically anything that flew in a straight line, and it was particularly effective against dive bombers.
Telegram introduced affiliate programs in December 2024, which allow developers to create an affiliate program for their bot or mini app. Any Telegram user can join the affiliate program, and are rewarded for referring others to the bot or mini app by receiving a commission from purchases made by the people they referred. [141]
Developed by a group of aviation professionals, the voluntary Aviators Code Initiative has produced a family of voluntary aviation codes. For example, the Aviators Model Code of Conduct (AMCC) "recommends operating practices to enhance the quality and safety" of general aviation flight operations. [1]
GitHub Copilot is a code completion and automatic programming tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [1]
Branch prediction attempts to guess whether a conditional jump will be taken or not. Branch target prediction attempts to guess the target of a taken conditional or unconditional jump before it is computed by decoding and executing the instruction itself. Branch prediction and branch target prediction are often combined into the same circuitry.
The basic form of a linear predictor function () for data point i (consisting of p explanatory variables), for i = 1, ..., n, is = + + +,where , for k = 1, ..., p, is the value of the k-th explanatory variable for data point i, and , …, are the coefficients (regression coefficients, weights, etc.) indicating the relative effect of a particular explanatory variable on the outcome.