Abstract: Chemical process industries require robust fault detection systems to ensure operational safety, product quality, and environmental compliance. However, existing methods face three critical ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...