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Newsletter November 2022

  • Newsletters
  • in: Other

Welcome to the Intellegens newsletter, where we share the latest news,
developments, and achievements from the team at Intellegens.

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Click here to subscribe!

New white paper - Polymer R&D

White Paper - ML for Polymer R&D

Polymer R&D teams must understand complex, high-dimensional, non-linear relationships in polymer formulations in a context where key property data is often incomplete. The result is high reliance on costly experimentation. Machine learning can help by learning from experimental and process data to create models that capture and then use these relationships. This white paper reviews some of the challenges and how they are overcome, discussing an application example of polymer blending.

Read the white paper

Next webinar with case study from Yili

Find out how formulation teams are applying machine learning to accelerate innovation for formulated products, including foods and beverages. This webinar includes a case study presentation from leading global food producer, Yili. Machine learning can reduce the amount of experimentation required to achieve objectives, saving time and resources. It can provide insights that enable a deeper understanding of formulations and can identify new recipes and processing paths that would not otherwise have been found.

Details and registration

Interview: Dr Tom Whitehead on applying machine learning

Tom Whitehead interview

Watch Dr Tom Whitehead, head of machine learning at Intellegens, on the work of the Intellegens Science Team. Tom explains how Intellegens typically works with industrial R&D organisations and discusses some trends, challenges, and successes in recent projects.

Watch the video

New feature - enhancing teamwork with notes and tags

Notes and tags in Alchemite

More new developments are rolling-out to Alchemite™ users. They can now create, view, and edit notes and tags for optimisations, improvements, and other result. Notes support communication between team members on a project, so that everyone has all of the relevant information about particular results in one place. Tags allow these results to be searched quickly and easily so that users spend less time sorting through data.

Book a demo

Blog: Top ten roadblocks to machine learning software

No through road sign

On this month’s blog we examine some of the reasons why organisations avoid using machine learning software and discuss why these roadblocks should be circumnavigated, and how to do this.

Read the blog

Recorded webinar - construction and structural materials

Recorded webinar - Machine learning for construction chemicals and structural materials

If you missed last week’s webinar, you can now watch the recording. We drew on experience of real-world projects to demonstrate how Alchemite™ can be applied to applications including design of of new concrete formulations and development of steels and other alloys for structural applications.

Watch the recording

Next Alchemite™ Focus Group

The next Alchemite™ Focus Group will be held in early December. This event is exclusively for Alchemite™ user organisations or those planning a project that will use Alchemite™. It provides an opportunity to learn from the experiences of other users, to find out what is new and coming soon in the Alchemite™ software, and to provide input to Intellegens development plans. The session will include user case study presentations from the Centre for Process Innovation and Johnson Matthey.

Details and registration

Upcoming events

Meet us at these events in the coming months:

Meet us at these events in the coming months:

1 Dec, Institute for Manufacturing Open Innovation Forum, Cambridge

7 Dec, Fourth Alchemite™ Focus Group, Online.

13 Dec, Webinar: Machine learning for formulation development, a food industry case study, Online.

24-25 Jan, SCI Formulations Forum, London

All upcoming events
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For more information on how our technology can be applied to your specific needs visit https://intellegens.com or contact us at info@intellegens.com.

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Address: The Studio, Chesterton Mill, Cambridge, United Kingdom, CB4 3NP
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