The fourth Alchemite™ Focus Group meeting was held last week, with user organisations sharing experience of using the machine learning software to accelerate innovation projects and Intellegens updating on recent and upcoming developments.
Two user presentations provided case studies of successful applications of Alchemite™. The Centre for Process Innovation (CPI) described its use in predicting biopharmaceutical process parameters based on genetic sequences. Johnson Matthey spoke about using machine learning to speed up and improve the development of catalysts, with applications to clean air and life science technologies.
Twenty user organisations were represented, in sectors including chemicals, plastics, steel, advanced materials, life sciences, paints, consumer products, additive manufacturing, energy, aerospace, food and beverage, and printing technology.
Analysing relationships between categorical data – one of the new Alchemite™ features.
The Intellegens Team presented the latest updates to the Alchemite™ product, including features to enable usability and teamwork, enhanced support for categorical data types throughout the platform, and speedups to the underlying algorithm and user workflows. There was also discussion of upcoming developments and an opportunity for feedback and input on these plans from the user community. The Science Team at Intellegens presented a project on integration of machine learning with physics-based models, which will enable R&D teams to get more from both approaches.
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