Welcome to the Intellegens newsletter, where we share the latest news, developments, and achievements from the team at Intellegens.
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Webinar: Materials development
Developing new materials with improved performance is already a complex, multi-parameter optimisation problem. The increasing need to meet sustainability and net zero targets makes this task yet more challenging. Machine learning (ML) can help, extracting added value from all available data to propose new designs and processing options, and to guide experimental programmes. In this webinar, we’ll demonstrate ML for materials design and development and hear a case study presentation from Welding Alloys Group. This will detail a project in which ML found an improved, cost-effective, and more environmentally-friendly hardfacing material.
Podcast: Digital tools for materials
Intellegens Head of Machine Learning, Tom Whitehead, is featured in the latest episode (#74) of the Materialism podcast. Hosted by Taylor Sparks of the University of Utah, the podcast is an educational resource for the materials science community. In this episode, Tom guests alongside Chris Oswin from the Materials Processing Institute to discuss how digital tools are being applied to materials production.
Machine learning for FMCG and foods
A new information pack provides background information on the application of machine learning to fast moving consumer goods. It includes a case study application in formulation design with Yili, a publication on sensory properties with IFF, a white paper, and video demonstrations of Alchemite™ technology.
Blog – the human factor
“Is AI replacing humans?” It’s an increasingly common, and important, question for society. At Intellegens, we’re often asked whether the aim of our software is to replace scientists in the research process. Not only is our answer an emphatic “No” but we like to point out that our mission is actually the exact opposite: to make machine learning useful by thinking very hard about how it supports those scientists, and about how scientists work with one-another.
Users discuss applications and collaboration
This month’s Alchemite™ User Group Meeting (UGM) brought together attendees spanning sectors including chemicals, consumer products, food, plastics, alloys, construction chemicals, advanced materials, and life sciences. Two case studies covered successful applications of Alchemite™ machine learning in the development of new chemicals or materials, both achieving a three-fold reduction in development times. There were also discussions of recent and upcoming product updates, demonstrations, and presentations of scientific projects and collaboration opportunities.
Ichnite™ integrates models and data sources
Ichnite™ is an application framework from Intellegens that makes it easy to aggregate computational methods and data sources. Users can combine methods and models in workflows that maximise machine learning insights and enable greater accuracy. Ichnite™ enables the integration of diverse R&D data, such as time series and images into Alchemite™ machine learning analysis and supports federated learning to merge models, not data.
Intellegens will join the Proventa R&D Strategy Meetings in Boston in November. We look forward to discussing the role of machine learning in accelerating innovation in the life sciences, optimising experimental programs, extracting hidden value from your data, and providing breakthrough insights to R&D teams.