Category: Industry

Quartic.ai announced a strategic partnership with the leading global professional services and analytics firm ZS Associates to accelerate manufacturing digitalization in life sciences and healthcare.&...

Rapidly analyze PAT spectral data using ML models and an easy-to-use no-code UI. GxP-ready, in the Cloud, and a per-molecule pay-as-you-go pricing designed to help your start using this solution right...

Our research mission is to bring the best intelligent autonomy to manufacturing. Undoubtedly, AI-driven industrial control is a big part of it. At NeurIPS 2021......

This is a joint work of Benjamin Decardi-Nelson, Jerry Cheng, and Mohan Zhang. The future of manufacturing is continuous and autonomous. Compared to batch manufacturing,......

“Supply chain agility can be defined as an organization’s ability to profitably manufacture and deliver a broad range of high-quality products and services with short......

We showed that when you are early in your digitalization journey where you only have access to manipulated variables (e.g. sugar feed rate) and the outcome (e.g. yield), you......

For many batch processes (e.g. in Life Sciences, Food & Beverage), the Design of Experiments (DoE) is usually conducted before scaling up to production...

For industries like Life Sciences, it is challenging to collect a large amount of data with high quality that is needed for machine learning and autonomous control applic...

It is not the big fish that eats the small fish, it is the fast fish that eats the slow fish. -Klaus Schwab, Founder and Executive Chairman, World Economic Forum, 2017...

The key business objectives achieved with the Smart industry are increased productivity, enablement of agile and flexible manufacturing to produce highly specialized and personalized pr...