InfoWorld

What I learned using Claude Sonnet to migrate Python to Rust

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.
IEEE

Enhanced Adaptive Dynamic Programming-based Collision-free Enclosing Learning Control for UAVs under Dynamic Environments

Abstract: This 1 paper 2 solves an enhanced adaptive dynamic programming (ADP)-based collision-free enclosing learning control for Unmanned Aerial Vehicles (UAVs) to move around a specified target ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

Multi-Level-Multi-Queue (MLMQ), a GPU-friendly data structure design to accelerate Single-Source Shortest Path (SSSP) on GPUs

The main code of MLMQ is in core, including the high-level templated framework and instantiated queues. SSSP is the SSSP program based on MLMQ, where users can specify the types of queues and their ...
GitHub

BMSSP: A C++ Shortest Path Algorithm

A header-only C++ implementation of the single-source shortest path (SSSP) algorithm for sparse directed graphs with non-negative weights, based on the 2025 paper by Duan et al. This algorithm is ...
IEEE

Dynamic Path Planning for Space-Time Optimization Cooperative Tasks of Multiple Unmanned Aerial Vehicles in Uncertain Environment

Abstract: Traditional path planning methods face significant challenges in addressing the high task density and complex airspace requirements of multi-UAV systems in uncertain environments, ...