To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Incorporating AI into the development workflow is not simply a byproduct of technology hype; rather, it reflects a change in ...

Intelligent Transportation Systems (ITS) occupy a pivotal position in the contemporary societal landscape, with one of their widespread applications being the vehicle routing problem, renowned for its ...

This repository contains Solutions to 50 assignments from the Logic Building batch at Marvellous Infosystems (Pune). Each assignment includes 5 problems covering topics such as Numbers, Digits, Arrays ...

This paper regarded the path planning problem as a TSP problem, and an improved genetic algorithm based on K-Means was proposed. The algorithm firstly decomposes the large-scale TSP problem into ...

The way we approach education, particularly in mathematics, has changed a lot over the past few years. As students face increasingly complex math problems, AI-powered tools have emerged as invaluable ...

Innovation starts with understanding your customer. This simple framework helps uncover real problems and engineer meaningful ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

The ability to problem solve and make decisions for ourselves is a key thinking skill that is hugely important throughout life. The greater your skill in this area, the better you are at searching ...

In head-to-head tests, Microsoft’s virtual medical council diagnosed correctly four times more often than human doctors, and ...