The Rubik’s Cube was invented in 1974 by Hungarian architect Ernő Rubik. Initially called the “Magic Cube,” it was meant to be a teaching tool for understanding three-dimensional geometry. However, it ...

The Bellman equation, with a resource-consuming solving process, plays a fundamental role in formulating and solving dynamic optimization problems. The realization of the Bellman solver with ...

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, ...

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 ...

While machine learning techniques have been transformative in solving a range of problems, an important challenge is to understand why they arrive at the decisions they output. Some have argued that ...

Reinforcement learning is about agents taking information from the world and learning a policy for interacting with it, so that they perform better. So, you can imagine a future where, every time you ...

Combinatorial optimization to search for the best solution across a vast number of legal candidates requires the development of a domain-specific computing architecture that can exploit the ...

The global water crisis is intensifying, with significant wastage and challenges in supply and demand. Less than one percent of the earth's surface water is suitable for human consumption, ...

Moving in time with others is a central characteristic of social life and has been shown to promote a host of social-cognitive attunements (e.g., person memory, affiliation, prosociality) for those ...

In this paper we present the RatLab toolkit, a software framework designed to set up and simulate a wide range of studies targeting the encoding of space in rats. It provides open access to our ...