@article{chen2025diffusion, title={Diffusion forcing: Next-token prediction meets full-sequence diffusion}, author={Chen, Boyuan and Mart{\'\i} Mons{\'o}, Diego and ...

Before artificial intelligence was digital, it was mechanical. Before neural networks learned through backpropagation, tiny motors and relays learned through trial ...

Mazes have fascinated humans for centuries — from Greek mythology’s Labyrinth to modern escape rooms. In computing, however, mazes are more than puzzles. They are graph structures, and solving them is ...

Spatial reasoning in Large Language Models (LLMs) serves as a foundation for embodied intelligence. However, even in simple maze environments, LLMs often struggle to plan correct paths due to ...

A maze is a type of puzzle involving a collection of paths, usually where a player has to find a route from start to finish. A huge variety of algorithms exist for generating and solving mazes. These ...

Abstract: Artificial Intelligence (AI) is a pivotal technology with diverse applications in fields such as algorithm design, robotic automation, image processing, and machine learning. This paper ...

This paper aims to develop a position tracking algorithm by which a rat in a radial arm maze can be accurately located in real time. An infrared (IR) night-vision camera was hung above the maze to ...

Over 4.33 billion people use social media, highlighting its significant global reach. Algorithms prioritise user engagement, often leading to addictive behaviours and societal concerns. According to ...

In this paper, we introduce an active inference model of ant colony foraging behavior, and implement the model in a series of in silico experiments. Active inference is a multiscale approach to ...

Path planning plays a crucial role in many applications in robotics for example for planning an arm movement or for navigation. Most of the existing approaches to solve this problem are iterative, ...