Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Nearly every music streaming platform increasingly relies on artificial intelligence-driven algorithms. School of Media Arts and Studies Director Josh Antonuccio discusses AI's role in the age of ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Children often surprise us with their natural problem-solving skills. A new study shows that they can discover efficient algorithms on their own. Researchers Huiwen Alex Yang, Bill D. Thompson, and ...

In a bid to overcome shortcomings in scientific computing, Chinese scientists have unveiled a new approach to sorting data that promises both higher speed and lower energy consumption. The system ...

I've recently been using fast-calib for multi-sensor calibration and encountered some strange phenomena. For some perspectives, the calculated translation is several meters, which is clearly incorrect ...

sort_a_unstable_ascending() and sort_a_unstable_descending() are the unstable sorting functions that sort elements in either ascending or descending order while discarding original sort order context.

Abstract: This research work introduces a clustering-based in-place sorting algorithm, cluster sort. It is designed in such a way that it improves sorting efficiency by using data locality. It works ...

This paper investigates the task scheduling problem for the Earth observation Interferometric Synthetic Aperture Radar (InSAR) satellite system. The mission time window generation method is introduced ...