Choose your team and play to simulate the most realistic path for them to win the 2026 World Cup. We analyze all possibilities using Monte Carlo simulation.

While one might wish to suddenly find themselves in an algorithmically optimal, straight-out-of-the-movies romance, it is the ...

Abstract: Multi-agent path finding (MAPF) problem in warehouse automation consists of optimal task assignment and path planning, where small runtime is necessary. In this letter, we present a new MAPF ...

In the 2024 cycle of the Princeton Marriage Pact, Leila Leibert ’27 and Manuel García San Millán ’27 were the top match on campus out of 2,526 participants. The algorithm told them they were 100 ...

As Valentine’s Day approaches at Stanford, some students may be gearing up for first dates — not with people they met on Tinder or Hinge, but with matches from a service called Date Drop, designed by ...

On February 24, 2026, Girl Scouts honored 95-year-old Lake Worth volunteer Marilyn VanVleet for decades of inspiring leadership and adventure. Hit-and-run crash with injuries blocks on-ramp to I-95 ...

The writer and comedian Megan Koester got her first writing job, reviewing internet pornography, from a Craigslist ad she responded to more than 15 years ago. Several years after that, she used the ...

Paleontologists may have uncovered the traces of a dinosaur that may have been limping, thanks to fossilized footprints preserved in stone for over 150 million years. In a Nov. 25 press release from ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

This project is an exercise that forms part of the semester report in the Advanced Algorithms course. It introduces the basics of graphs and shortest path search algorithms for weighted graph, which ...

When it comes to growing a loyal finance podcast base, it's important to realize that listeners don’t just tune in for information; they come back for familiarity. In particular, the most successful ...