The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

LONDON & SAN DIEGO--(BUSINESS WIRE)-- Teradata (NYSE: TDC) today announced at Possible 2024: London new features and productivity enhancements to ClearScape Analytics, the most powerful, open, and ...

Machine learning tackles laser process variability Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between ...

Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target viruses more efficiently than previous techniques. The new approach can be used ...