As the industry adopts in-line monitoring and analytics, integrated AI-linked sensors may soon enable model-based process controls.

The purification and separation of the product of interest from process- and product-related impurities remains a major challenge in development.

Copper selenide (Cu₂Se) attracts scientific interest for its thermoelectric ability to convert heat into electricity, but a ...

Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing ...

While developing his theory of natural selection, Charles Darwin was horrified by a group of wasps that lay their eggs within ...

Also, there’s still no easy way to test AI designs of larger genomes. While some viruses can ‘boot up’ just from a DNA strand ...

CRISPR-GPT, a large language model developed at Stanford Medicine, is accelerating gene-editing processes and increasing accessibility to CRISPR.

The design-bid-build delivery model has been the backbone of U.S. construction for decades, but today’s more complex projects ...

The idea was that high-powered lasers would propel tiny probes to 20 percent of the speed of light, impelling them with ...

Groups working in genomics, bioinformatics, and materials science started experimenting with similar approaches.

The European research project EXPLAIN has developed explainable and user-friendly AI for the process industries.