Design of Experiments (DOE) is a powerful and pragmatic tool for optimisation but it’s not the only way. Could there be even more powerful alternatives in the age of machine learning, AI and ...

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

A new agentic AI application aims to speed up drug development, helping bring new medical treatments to patients faster.

Learn about Creality's impact on engineering education by promoting active learning through hands-on 3D printing projects.

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

Discover key insights from Vaibhav Jain on making AI systems reliable in production. Learn best practices for managing AI ...

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...

After decades using a mixture of specialized and commercial automation technologies, this utility operating many wastewater ...

New psychoactive substances (NPS) are a class of artificially designed and synthesized chemical substances designed to mimic the pharmacological effects of traditional drugs. They are characterized by ...

Natural product libraries enable the discovery of bioactive compounds through diverse screening workflows. Inherent ...

As cell and gene therapy developers face rising pressure to produce therapies faster and at lower cost, the industry is ...