We scan all of AI. You track a slice of it. Build an agent that watches only the companies, topics and people you choose. It reads everything our scanners pull and sends you an edition made of just ...

Every Python codebase has this problem. A function that starts small. Two branches, maybe three. Then someone adds a case, someone else adds another, and a year later ...

Time-optimal trajectory planning is an important topic in robotic manipulation and automated system operation, particularly when joint motion must satisfy predefined velocity and acceleration ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Abstract: This study addresses the challenge of generating high-quality motion plans within a short computation time using only a limited dataset. In the informed experience-driven random trees ...

Nigel first entered the world of automotive journalism in the mid-80s, working for what was then the “bible” of weekly automotive content - Motoring News. Those were the days of tip-tap typewriters, ...

This project implements an AI-based solution to the classic 8-Puzzle Problem using various search algorithms, with a focus on the A* algorithm for optimal performance. The 8-puzzle is a 3x3 sliding ...

Abstract: This manuscript addresses the problem of finding optimal control for dynamic systems using the gradient descent method. A numerical algorithm is constructed to find the optimal control in ...