This package solves the Traveling Salesman Problem with Drone (TSP-D) with 1 truck and 1 drone. This implements the Divide-Partition-and-Search (DPS) algorithm and the Deep Reinforcement Learning (DRL ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI. When you purchase ...

Professor of Law and Associate Dean for International Affairs, Wake Forest University While U.S. and global solutions seem far off, policies to limit harm from microplastics are gaining traction at ...

A high-performance, exact solver for the Traveling Salesman Problem (TSP) implemented in Go. Utilizes an intelligent Branch and Bound algorithm with adaptive thresholding to find the globally optimal ...

On Valentine’s Day 2023, Latyr Thiaw, a 19-year-old maintenance worker living in Washington, D.C., saw a picture of UCLA women’s basketball player Kiki Rice on Instagram. He then watched interviews ...

Some of the most successful startups didn’t start with a business plan. They started with a problem. More specifically — a personal pain point. Build the product you wish existed by solving a problem ...

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...