To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...

For years, quantum computers have been framed as the ultimate problem solvers, machines that would eventually crack any task ...

Kenneth Merz, Ph.D., of Cleveland Clinic's Center for Computational Life Sciences, and a research team are testing quantum computing's abilities in chemistry through integrating machine learning and ...

Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

Computer science researchers from the University of Copenhagen and the Technical University of Denmark (DTU) thought that they were five years away from solving a math riddle from the 1980's. In ...

MIP * = RE is not a typo. It is a groundbreaking discovery and the catchy title of a recent paper in the field of quantum complexity theory. Complexity theory is a zoo of “complexity classes” – ...

The original version of this story appeared in Quanta Magazine. Say you want to send a private message, cast a secret vote, or sign a document securely. If you do any of these tasks on a computer, you ...

Expand the application of computing and computational thinking at an R1 flagship technological university where STEM research is at the heart of everything we do. Learn from caring and skilled faculty ...

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...

Can a close look at the universe give us solutions to problems too difficult for a computer -- even if we built a computer larger than a planet? Physicist Stephen Jordan reflects on this question in a ...