Machine learning algorithms need data, so the researchers designed a polymerization process that would quickly and efficiently generate experimental data to feed into the mathematical model. The ...

Key sectors in the white biotechnology market include biofuels, biochemicals, industrial enzymes, and biomaterials, with new ...

AI, ML and digitalization are rapidly becoming tools for real-time monitoring and optimization, helping process engineers ...

The FDA defines process validation as consisting of three parts: process design (PD), process qualification (PQ), and continued process verification (CPV). The first two stages are discrete—once ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

The goal was to have an end product with as close to 50% styrene as possible. Five calculation cycles achieve successful outcome The machine learning process took only five calculation cycles to reach ...

Like everything else associated with machine learning, deep learning, and large language models, the generative AI development process is subject to change, often with little or no notice.