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.

According to Securities Star, Jin Baize (301041) responded to investor concerns on September 9 via the investor relations platform.

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 ...

Many sewage treatment plants are equipped to process waste using anaerobic digestion, in which the sewage sludge is held in ...

RecycLiCo Battery Materials Inc. (“RecycLiCo” or the “Company”) (TSX.V: AMY | OTCQB: AMYZF | FSE: ID4), a critical mineral refining and lithium-ion battery upcycling company, is pleased to welcome ...

Volkswagen will invest €1bn in AI by 2030 to transform vehicle production, targeting €4bn savings, 25% faster development, ...

Carnegie Mellon University is helping define how artificial intelligence reshapes science — from accelerating discovery to scaling up new technologies. Ahead of the AI Horizons Summit, Barbara ...

From 2026, the University of the Free State is adding a full four-year engineering degree - the Bachelor of Engineering in ...

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.