Google has rolled out fewer confirmed search ranking updates in 2025, then it did in all the past years where Google confirmed these updates. Google rolled out only four confirmed updates in 2025, ...

Abstract: Autonomous vehicles require highly reliable collision-free capabilities, necessitating extensive research in path planning. Path planning determines an optimal path, crucial for safe and ...

My habit of seeking out new music began with a few strokes of good luck. I grew up in a college town in the early to mid-nineties, during one of the golden eras of college radio. I spent a significant ...

Spotify Technology SA will begin testing a new feature that allows users to type an idea for a playlist into the app and receive a unique set of songs based on their historical taste and behavior. The ...

data structure and algorith:This journey is not just about coding but also about developing problem-solving thinking, optimizing solutions, and building a strong foundation for coding interviews and ...

1 College of Electromechanical Engineering, Qingdao University of Science and Technology, Shandong Province, China 2 Shandong Gaomi Technician Institute, Shandong Province, China For the low ...

Researchers at the University of Kent, UK, introduced LiteRBS (Lightweight and Rapid Bidirectional Search), a novel grid-based pathfinding algorithm designed for efficient and scalable navigation in ...

Thomson Reuters has had an outsized presence among software for the legal profession for decades through its Westlaw platform. Legal professionals of all experience levels have used this platform to ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: Multi-agent path finding (MAPF) problem in warehouse automation consists of optimal task assignment and path planning, where small runtime is necessary. In this letter, we present a new MAPF ...

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 ...

In an interview with Harvard Law Today, Noah Giansiracusa explains how companies deploy what some call "dynamic" or “surveillance pricing,” using individual customers' data as a primary algorithmic ...