Robotics

A new robotic system for automated laundry

Researchers at University of Bologna and Electrolux have recently developed a new robotic system that could assist humans with one of their most common everyday chores, doing laundry. This system, introduced in a paper published ...

Computer Sciences

AI predicts infant age, gender based on temperament

It's hard to tell the difference between a newborn boy and girl based solely on temperament characteristics such as the baby's propensity to display fear, smile or laugh. But once babies reach around a year old that begins ...

Business

What Spotify and Tinder aren't telling us

Online activity is increasingly influenced by algorithmic recommendations based on data gathered about consumer behavior by companies that are often reluctant to disclose what data they're gathering or how they are using ...

Automotive

Researchers find way to make traffic models more efficient

Models that predict traffic volume for specific times and places are used to inform everything from traffic-light patterns to the app on your phone that tells you how to get from Point A to Point B. Researchers from North ...

Computer Sciences

Automated analysis of animal behavior through AI

Researchers have developed a new method that uses artificial intelligence to analyze animal behavior. This opens the door to longer-term in-depth studies in the field of behavioral science—while also helping to improve ...

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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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