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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 ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

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 ...

Astronomers use brokers to identify which signals to pursue in an endless stream of alerts. Looking up at the stars at night, it may not be obvious that the universe is constantly changing. But it is: ...

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 ...

Abstract: Non-dominated sorting genetic algorithms are recognized for their robustness and flexibility in optimizing renewable energy systems, surpassing traditional methods by handling multiple ...