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

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, ...

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 ...

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 ...

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 ...

When synthesizing a gene with a long DNA sequence, it is usually necessary to divide it into several fragments. Based on these fragments, a set of oligonucleotides for gene assembly is produced. Each ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...