A team of biologists in Australia has developed a scanning device to accurately detect exactly how potent a cannabis plant is ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

TotalEnergies partnered with Honeywell to deploy machine learning technologies at its Port Arthur Refinery in Texas, ...

IRT Jules Verne, working with Airbus, Daher and French consortium developed a mobile robotic inspection platform that uses ...

Artificial intelligence (AI) holds promising potential for advancing nuclear energy production. These sophisticated computer systems mimic human logic in problem solving and decision making. With its ...

A new critical review published in Materials Futures traces the rapid evolution of Refractory High-Entropy Alloys (RHEAs), a revolutionary class of materials engineered for extreme environments. The ...

Once a buzzword, the "digital middle platform" is now mired in what Gartner calls the "trough of disillusionment" —data keeps ...

Baidu unveils a powerful open-source AI model that rivals Google and OpenAI in visual reasoning, multimodal analysis, and enterprise efficiency using just a fraction of computing power.

The digital landscape demands constant content creation, yet producing high-quality videos remains time-consuming and ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...