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 ...

Abstract: In response to the problems of low search efficiency and a large number of redundant points traversed by the traditional A* algorithm in the path planning process of AUV, this article ...

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 ...

A new trend in Silicon Valley, vibe coding, is driving an exponential acceleration in how quickly engineers can develop products and algorithms. This approach aligns with principles outlined by Google ...

Team 1's implementation of the A* algorithm that will solve the maze for 1) randomly placed goals as well as have 2) the ability to make 45 degree turns.

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 ...