LONDON--(BUSINESS WIRE)--Process Systems Enterprise (PSE), a Siemens business, today released its rebranded gPROMS Process advanced process modelling environment. Formerly known as gPROMS ...

A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

In many social sciences, such as psychology and economics, there is an ongoing debate between whether a model should be based on Normative or Process analyses. A normative model is one which asks what ...

Models of biopharmaceutical production processes are more accurate and predictive if all downstream steps are considered together rather than individually. At least that’s according to researchers at ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

The benefits of continuous biologics manufacturing are generally accepted, but transitioning to continuous processing from batch processing is hindered by the lack of modeling and simulation tools.

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

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 ...

In an era of growing environmental uncertainties, ensuring food security while maintaining sustainable agricultural practices is a major global challenge. Regional-scale crop growth and associated ...