Since 2024, UNC-Chapel Hill has led one part of the All of Us project called the Center for Linkage and Acquisition of Data, ...

Abstract: The incorporation of multiple specialized operators can significantly enhance the Multi-Objective Evolutionary Algorithms in handling constraints. However, selection or manual setup of ...

A new study suggests that those with long-lived families probably have the best prospects of making it to a very old age. By Gina Kolata Gina Kolata recently reported on a study of the genes of the ...

Operating room (OR) planning and scheduling is a highly complex combinatorial optimization problem that involves patient assignment, OR allocation, and surgical sequencing within a constrained ...

Parents may have more influence than they realize when it comes to shaping their children's behavior, especially for those at higher genetic risk for conduct problems, according to Rutgers Health-led ...

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 ...

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 ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

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 ...