Robotics

Robot planning tool accounts for human carelessness

A new algorithm may make robots safer by making them more aware of human inattentiveness. In computerized simulations of packaging and assembly lines where humans and robots work together, the algorithm developed to account ...

Computer Sciences

Putting the squeeze on computer art

Researchers have demonstrated a novel image compression tool that combines recursive algorithms with convolutional neural networks (CNNs) to out-perform other approaches to the compression of images from computer art and ...

Computer Sciences

New tool detects fake, AI-produced scientific articles

When ChatGPT and other generative artificial intelligence can produce scientific articles that look real—especially to someone outside that field of research—what's the best way to figure out which ones are fake?

Computer Sciences

AI tool challenges betting sites with Grammy predictions

Whether it's the Oscars, the Tonys, or the Grammys, observers annually make predictions as to which actor, film, musical, or song will win these coveted awards—with forecasts based on what experts say impresses the voters. ...

Machine learning & AI

Study showcases new method for better grouping in data analysis

Researchers at Carnegie Mellon University and UC Berkeley have developed a new method to improve how computers organize and analyze large datasets. This advancement improves the ability to extract information from knowledge ...

Energy & Green Tech

New software provides advanced grid simulation capabilities

Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid. A challenging and particularly promising ...

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Algorithm

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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