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 ...

Product development has a problem. To drive greater efficiencies and higher quality for downstream consumers, organizations have asked product development to adopt model-based definition. This is ...

How lab leaders can use instrument log data and process models to catch drift early, cut downtime, and make better ...

Drug manufacturing process models represent a "growing area" of scientific development and have been utilized in new drug applications (NDAs), biologics license applications (BLAs), and supplements to ...