It’s hard to pick any one line as my favorite in the 1998 cult classic “The Big Lebowksi,” because there are far too many to choose from, but I think I most enjoy the moment when John Goodman’s ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

The aim of this assignment is to get you acquainted with AI search techniques and how to derive heuristics in Pacman, as well as to understand how to model a state space problem with python. In ...

The SEO industry is undergoing a profound transformation in 2025. As large language models (LLMs) increasingly power search experiences, success now depends on withstanding traditional algorithm ...

Abstract: The performance and efficiency of A* search algorithm heavily depend on the quality of the heuristic function. Therefore, designing an optimal heuristic function becomes the primary goal of ...

There were seven confirmed algorithm updates (two less than last year). But Google's March core update was Google's biggest update ever. Google launched seven official and confirmed algorithmic ...

Abstract: This paper presents a comparative analysis of three widely used pathfinding algorithms: A*, Dijistra’s, and Breadth-First Search (BFS). We evaluate these algorithms based on their complexity ...

A Lisp-based implementation of the classic Towers of Hanoi problem, featuring both breadth-first search (BFS) and A* search algorithms. This project explores state space search strategies, comparing ...