Gel electrophoresis is a staple of many life science labs but has changed little since the 20th century. Now, researchers ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

How can artificial intelligence (AI) be used to advance mapping and imaging methods on other planets? This is what a study presented at the 56th Lunar and Planetary Science Conference hopes to address ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

Artificial intelligence (AI) can be trained to see details in images that escape the human eye, and an AI neural network ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of molecules, materials and disease biomarkers in biological samples, ...

In this paper, we identify and analyze structural breaks using machine learning methodologies. We find that downward trend shifts in carbon emissions since 1965 are rare, and most trend shifts are ...

The master’s in machine learning engineering from Drexel Engineering provides ... robotics, cell and tissue image analysis, genomics and bioinformatics. In the Department of Electrical and Computer ...

"We are excited to release this new version of our software. Stata 19 will empower researchers to effectively use their data and make impactful contributions with their work,” said Alan Riley ...

Students will be trained in statistics fundamentals, basic computer programming, and machine learning algorithms that tap into knowledge on both fronts. You can take the course listed below as ...