And those who rarely used a procedural algorithm were significantly more likely to succeed on problem-solving questions. If you're enjoying this article, consider supporting our award-winning ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Like many researchers in the field of computational complexity, Lance Fortnow—Professor and Former Founding Dean at the Illinois Institute of Technology’s College of Computing—has spent a lot of time ...

Source: Darren Edwards What if one of the biggest unsolved problems in mathematics is not just about numbers or computers, but about observers like you and me? This isn’t a proposed solution to P vs ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Abstract: Many important science and engineering problems can be converted into NP-complete problems which are of significant importance in computer science and mathematics. Currently, neither ...

Sudoku fan? After diving into the math behind the game, test your skills with our very own puzzles in SciAm Games! Computer science seemingly rides a curve of unstoppable progress. Mere decades took ...

Abstract: Background: Traditional computers can be inadequate to solve computationally complex problems, generally known as NP-hard problems, for example, optimization, cryptography, and network ...

This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...