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In computer science, iterative deepening search or more specifically iterative deepening depth-first search [1] (IDS or IDDFS) is a state space/graph search strategy in which a depth-limited version of depth-first search is run repeatedly with increasing depth limits until the goal is found.
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Deep learning has profoundly improved the performance of programs in many important subfields of artificial intelligence, including computer vision, speech recognition, natural language processing, image classification, [113] and others. The reason that deep learning performs so well in so many applications is not known as of 2021. [114]
The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.
An American-style 15×15 crossword grid layout. A crossword (or crossword puzzle) is a word game consisting of a grid of black and white squares, into which solvers enter words or phrases ("entries") crossing each other horizontally ("across") and vertically ("down") according to a set of clues. Each white square is typically filled with one ...
A particle swarm searching for the global minimum of a function. In computational science, particle swarm optimization (PSO) [1] is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Patrick D. Berry (born 1970) is an American puzzle creator and editor who constructs crossword puzzles and variety puzzles. He had 227 crosswords published in The New York Times from 1999 to 2018. His how-to guide for crossword construction was first published as a For Dummies book in 2004.
Problem finding requires intellectual vision and insight into what is missing. Problem finding plays a major role in application of creativity. [1] Different terms have been used for problem finding in literature including problem discovery, problem formulation, problem identification, problem construction, and problem posing.