Successful navigation relies on the ability to process and encode detailed information about our dynamic environments. Beyond familiarity, emerging studies now highlight the crucial role of novelty ...

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 ...

This project is all about exploring Reinforcement Learning (RL) basic algorithms. We use mazes of different sizes as our playground to see how different RL techniques can find their way out. We make ...

Embrace AI-driven automation to transform credit decisioning in finance. Leverage Project Cyclops for real-time, high-accuracy loan approvals. In the world of finance, the use of AI is tricky owing to ...

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 ...

Collective cognition is often mentioned as one of the advantages of group living. But which factors actually facilitate group smarts? To answer this, we compared how individuals and groups of either ...

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 ...