Genetic prediction models are poised to revolutionize medicine. But because they have been trained on European DNA, they ...

Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny ...

The field of livestock genomics has experienced remarkable progress over the past two decades, ushering in a new era of data-driven breeding practices.

New research shows that the application of AI remains uneven across the full spectrum of disaster management, with most systems still concentrated on detection and prediction rather than actionable ...

Abstract: The Vehicle Routing Problem with Time Windows (VRPTW) is paramount in elevating operational efficiency, driving cost reductions, and enhancing customer satisfaction. This problem has ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

In experiments, researchers showed that the disease-spreading insects couldn’t resist the sweet smell of a fungus that infected and killed them. By Jason P. Dinh Watch your back, DEET. There’s a new ...

Abstract: The Traveling Salesman Problem (TSP), a classic combinatorial optimization problem, has been extensively studied for many years. Recently, the Multi-solution Traveling Salesman Problem ...

A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...

Kayte Spector-Bagdady, is an associate professor of obstetrics and gynecology at the University of Michigan. As soon as the genetic testing company 23andMe filed for bankruptcy on March 23, 2025, ...