Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

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 ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

The fusion of intelligent modeling workflows, PAT, and smart devices will allow biomanufacturers to drastically reduce development costs.

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Media formulation was improved using a combination of advanced machine learning techniques, thermodynamic modeling, and ...