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

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 ...

Imagine this: you’re an artist, writer, or software developer, and one day you discover that your work has been used to train an AI system, without your permission. The AI now generates content eerily ...

Atrial fibrillation (AF) can cause a reduction in left ventricular ejection fraction (LVEF) that resolves rapidly upon restoration of sinus rhythm. We used artificial intelligence to understand (1) ...

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 ...

Building a maze-solving robot is an intresting way to get into the world of robotics and autonomous systems. Imagine creating a small device that can intelligently navigate through complex mazes, ...

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 ...

Investigating how, when, and what subjects learn during decision-making tasks requires tracking their choice strategies on a trial-by-trial basis. Here, we present a simple but effective probabilistic ...

There are multiple well-known algorithms to solve a maze such as Depth-First Search (DFS), Breath-FIrst Search (BFS), and Dijkstra. This RTL code has been implemented using DFS which is a graph ...

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's renowned derivative-free optimization methods, i ...