Learn how machine learning can design new formulations and chemicals, reduce experimental workloads by 50-80%, and enable response to regulatory constraints.
Original broadcast: Tuesday, 20th Feb, 2024
Speakers: Phillip Woolston, Domino Printing Sciences; Tom Whitehead, Intellegens.
Learn how machine learning can design new formulations and chemicals, reduce experimental workloads by 50-80%, and enable response to regulatory constraints. All of these benefits have been experienced at Domino Printing Sciences in their work on the formulation of inks. In this webinar, you will learn how machine learning has been applied at Domino and how its deployment has developed, from a tool used to guide experimental programmes, to a technology that is increasingly integrated into Domino workflows through use of automatic APIs. Phillip Woolston, project lead at Domino, will share their experience, including application and adoption challenges and how these are overcome. Tom Whitehead, who leads the Intellegens Science Team supporting the work at Domino, will demonstrate the Alchemite™ machine learning software, as applied at Domino. This webinar will be relevant to anyone working on formulated products, chemicals, materials, or pharmaceuticals.