Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Automation is not only transforming field work. In storage sheds, optical sorting systems are delivering fast returns.

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 ...

Most algorithms for sorting developed to date were found to also exhibit strong data dependencies. This essentially means that the operations they perform rely on the results of earlier operations, ...

The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...

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 ...