Google Maps taking you the long way? Learn why the app defaults to slower routes and discover the hidden settings that will ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

The path planning algorithms search for the collision-free path between the start and end points while satisfying the evaluation metrics 1. These algorithms are classified as the classical approaches, ...

In today’s society, innovative technologies emerge endlessly, which greatly promote social progress and industrial transformation 1. Robot technology covers many fields such as mechanical engineering, ...

Making a class schedule is one of those NP hard problems. The problem can be solved using a heuristic search algorithm to find the optimal solution, but it only works for simple cases. For more ...

Hello everyone! Today, I'd like to discuss customer/audience segmentation analysis, which is essential for businesses of all sizes and industries. We'll be using a dataset example and applying machine ...

1 Transportation Engineering College, Dalian Maritime University, Dalian, China. 2 School of Maritime Economics and Management, Dalian Maritime University, Dalian, China. With the development of the ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

Reinforcement Learning (RL) controllers have proved to effectively tackle the dual objectives of path following and collision avoidance. However, finding which RL algorithm setup optimally trades off ...