Engineering
It is hard to imagine modern traffic networks without tunnels. They help us bypass rivers and mountains, and make sure traffic doesn't interfere too much with our daily lives in urban areas. Modern tunnels are highly complex ...
Dec 13, 2022
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48
Computer Sciences
In an increasingly connected and smart world, sensors collect and share large amounts of data to help people make decisions.
Nov 8, 2022
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5
Electronics & Semiconductors
Artificial intelligence has long been a hot topic: a computer algorithm "learns" by being taught by examples: What is "right" and what is "wrong." Unlike a computer algorithm, the human brain works with neurons—cells of ...
Nov 7, 2022
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312
Computer Sciences
Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. ...
Engineering
A new deep-learning framework developed at the Department of Energy's Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while ...
Oct 14, 2022
0
29
Electronics & Semiconductors
Researchers from the University of Bristol, quantum start-up, Phasecraft and Google Quantum AI have revealed properties of electronic systems that could be used for the development of more efficient batteries and solar cells.
Oct 11, 2022
0
144
Computer Sciences
A team of researchers at Google's DeepMind, London, has found that AI can find faster algorithms to solve matrix multiplication problems. In their paper published in the journal Nature, the group describes using reinforcement ...
Computer Sciences
Algorithms developed in Cornell's Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey ...
Oct 5, 2022
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100
Computer Sciences
A study on the types of mistakes that humans make when evaluating images may enable computer algorithms that help us make better decisions about visual information, such as while reading an X-ray or moderating online content.
Sep 20, 2022
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32
Other
With autocorrect and auto-generated email responses, algorithms offer plenty of assistance to help people express themselves.
Sep 20, 2022
0
80
In mathematics, computing, linguistics, and related subjects, an algorithm is a finite sequence of instructions, an explicit, step-by-step procedure for solving a problem, often used for calculation and data processing. It is formally a type of effective method in which a list of well-defined instructions for completing a task, will when given an initial state, proceed through a well-defined series of successive states, eventually terminating in an end-state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as probabilistic algorithms, incorporate randomness.
A partial formalization of the concept began with attempts to solve the Entscheidungsproblem (the "decision problem") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define "effective calculability" (Kleene 1943:274) or "effective method" (Rosser 1939:225); those formalizations included the Gödel-Herbrand-Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's "Formulation 1" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939.
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