Building a good mathematics test is a surprisingly hard optimization problem. Every item in a test bank carries its own content domain, difficulty level, cognitive demand, and point value, and a ...

Researchers have developed two algorithms to help fleets of drones inspect electricity infrastructure more efficiently, ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

Single-cell RNA sequencing (scRNA-seq) is a method for measuring gene expression in individual cells, allowing observation of various cellular processes, including cell differentiation, the cell cycle ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

They say a picture is worth a thousand words. A new method, developed by University of Michigan researchers, creates images that are worth many gigabytes of data, which could revolutionize the way ...

A first-of-its-kind benchmark from the Technical University of Munich compares algorithms for optimizing industrial robot ...

Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of ...