Civil Rights
Movements, leaders, victories and the continuing fight for equality.
Explore the people, places, events, achievements, struggles and stories that shaped our journey.
Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
Pioneers, champions, Negro Leagues, records, activism and excellence.
Meet the people whose lives, choices and achievements shaped the journey.
Black towns, communities, institutions and places where history happened.
Moments that changed communities, movements, institutions and the nation.
Katherine Johnson’s mathematical calculations helped guide some of America’s most important early space missions while she confronted the racial and gender barriers faced by Black women in twentieth-century America.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
In theoretical computer science, an unambiguous Turing machine is a theoretical model of computation whose power (under resource restrictions) is between that of ordinary Turing machines and nondeterministic Turing machines. An unambiguous Turing machine is defined as a nondeterministic Turing machine with the property that for every input, there is at most one accepting computation path.[1]
A nondeterministic Turing machine is represented formally by a 6-tuple, , as explained in the aforementioned linked article.[2]: 178
An unambiguous Turing machine is a nondeterministic Turing machine such that for any input , has at most one accepting computation on .[1] That is, for every input , there exists at most one sequence of configurations with the following conditions:
The language of an unambiguous Turing machine is defined to be the same language that is accepted by the nondeterministic Turing machine. A language of strings L can be defined to be unambiguously recognizable if it is recognizable by an unambiguous Turing machine.
The class of unambiguously recognizable languages is exactly the same as the class of recursively enumerable languages (RE). Indeed, every deterministic Turing machine is an unambiguous Turing machine, as for each input, there is exactly one computation possible. Therefore, all recursively enumerable languages are unambiguously recognizable. Conversely, every unambiguously recognizable language is recognizable by a nondeterministic Turing machine, and hence is recursively enumerable.
The complexity class UP is defined as the class of languages that can be decided in polynomial time by an unambiguous Turing machine.
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In theoretical computer science, an unambiguous Turing machine is a theoretical model of computation whose power (under resource restrictions) is between that of ordinary Turing machines and nondeterministic Turing machines. An unambiguous Turing machine is defined as a nondeterministic Turing machine with the property that for every input, there is at most one accepting computation path.
Alan Turing (1912–1954), a pioneer computer scientist, mathematician, and philosopher, is the eponym of all of the things listed below. Alan Turing Building, Manchester, England The Turing School, Eastbourne, England Alan Turing Centenary Conference, Manchester, England Alan Turing Institute, London, England Alan Turing law Alan Turing Memorial, Manchester, England Alan Turing sculpture, Eugene, Oregon, United States Statue of Alan Turing, Bletchley Park, England Alan Turing: The Enigma Alan Turing Year The Annotated Turing Church–Turing thesis Church–Turing–Deutsch principle Good–Turing frequency estimation Object-Oriented Turing (programming language) Super-Turing computation Turing-acceptable language Turing Award Turing (cipher) Turing College, Kent, England Turing completeness Turing computability Turing degree Turing Foundation, Amsterdam, Netherlands Turing Gateway to Mathematics, Cambridge, England The Turing Guide Turing House School Turing Institute, Glasgow, Scotland Turing jump Turing Lecture Turing machine Alternating Turing machine Multi-track Turing machine Multitape Turing machine Neural Turing machine Non-deterministic Turing machine Post–Turing machine Probabilistic Turing machine Quantum Turing machine Read-only right moving Turing machines Read-only Turing machine Symmetric Turing machine Unambiguous Turing machine Universal Turing machine Wolfram's 2-state 3-symbol Turing machine Turing Machine (band) Turing (microarchitecture) Turing OS Turing pattern Turing Pharmaceuticals Turing (programming language) Turing reduction Turing Robot, China Turing scheme Turing table Turing tarpit Turing test CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) Computer game bot Turing Test Graphics Turing Test Reverse Turing test Subject matter expert Turing test The Turing Test (novel) The Turing Test (video game) Visual Turing Test The Turing Trust Turing Tumble Turing's method Turing's proof Turing's Wager Turing+ (programming language) Turing.jl (probabilistic programming) Turingery Turingismus Turmite Turochamp Other items Alan Turing (MI) Building, University of Wolverhampton, England Turing Street, East London, England Turing Gate, Bletchley Turing Close, Leeds NE Turing Street, near Microsoft headquarters in Redmond, Washington
The Turing test was designed by Alan Turing to assess a machine's ability to exhibit intelligent behaviour equivalent to that of a human by imitating interactive dialogue. In the modern version, a human evaluator judges a text transcript of a natural-language conversation between a human and a machine. The evaluator tries to identify the machine, and the machine passes if the evaluator cannot reliably tell them apart. The results would not depend on the machine's ability to answer questions correctly, only on how closely its answers resembled those of a human. Since the Turing test is a test of indistinguishability in performance capacity, the original (verbal) version generalizes naturally to all of human performance capacity, including nonverbal (robotic). The test was introduced as the imitation game by Turing in his 1950 paper "Computing Machinery and Intelligence" while working at the University of Manchester. It opens with the words: "I propose to consider the question, 'Can machines think?'." Because "thinking" is difficult to define, Turing chooses to "replace the question by another, which is closely related to it and is expressed in relatively unambiguous words". Turing describes the new form of the problem in terms of a three-person party game called the "imitation game", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: "Are there imaginable digital computers which would do well in the imitation game?" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against the major objections to the proposition that "machines can think". Since Turing introduced his test, it has been highly influential in the philosophy of artificial intelligence, resulting in substantial discussion and controversy, as well as criticism from philosophers like John Searle, who argue against the test's ability to detect consciousness.
"Computing Machinery and Intelligence" is a paper written by Alan Turing on the topic of artificial intelligence. The paper, published in 1950 in Mind, was the first to introduce his concept of what is now known as the Turing test to the general public. Turing's paper considers the question "Can machines think?" Turing says that since the words "think" and "machine" cannot clearly be defined, we should "replace the question by another, which is closely related to it and is expressed in relatively unambiguous words." To achieve this objective, Turing proposes a three-step approach. First, he identifies a simple and unambiguous concept to substitute for the term "think." Second, he delineates the specific "machines" under consideration. Third, armed with these tools, he poses a new question related to the first, which he believes he can answer in the affirmative.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Mae Jemison, aboard Space Shuttle Endeavour in 1992.