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developments, and achievements from the team at Intellegens.
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New machine learning case study: Composite manufacturing
Laminated fibre-reinforced polymer matrix composites are widespread in aerospace and, increasingly, in automotive. Surface delamination during machining causes 60% of part rejections during final aircraft assembly. Understanding and controlling delamination requires significant experimental effort, typically involving systematic drilling and analysis of 1,000+ holes. Scientists at the University of Sheffield Advanced Manufacturing Research Centre (AMRC) applied Alchemite™ deep learning to predict future tooling performance based on data from 80% fewer experiments than with traditional approaches.
Upcoming webinar - Additive Manufacturing data with Ansys
On 3 March, Intellegens will join our partner, Ansys, for the launch of their updated Granta MI Additive Manufacturing solution, now integrating Alchemite™ machine learning. The combined solution enables AM teams to manage all of their AM project data and to instantly gain insight into that data, for example, to understand key process / property relationships.
Recorded webinar: Machine learning for batteries
If you missed last week’s webinar, catch up online now. Intellegens were joined by battery experts Deregallera to discuss how machine learning can accelerate innovation in three key areas of battery development: (1) Battery materials and formulation; (2) Cell and pack design; (3) Battery management systems.
Hear Intellegens speak at AI UK 2022
Intellegens CTO Dr Gareth Conduit will speak at the AI UK 2022 event organised by the Alan Turing Institute in March. Gareth will discuss practical applications for machine learning in materials and battery development.
Formulation design at the American Chemical Society
Intellegens will also be speaking at the American Chemical Society Meeting next month. Dr Tom Whitehead will present in partnership with Domino Printing Sciences on the use of machine learning for rapid reformulation of inks.
On the blog: Think outside the black box - Explainable AI
In this month’s blog, we discuss the need for ‘Explainable AI’ tools to make machine learning less of a black box. The right tools can provide insights that enable users both to increase understanding of the systems being studied and to improve the predictive performance of machine learning models.
Video demonstration - Sensitivity plots
Check out one of the ‘Explainable AI’ features in the Alchemite™ Analytics platform. This new video demo shows the recently-added sensitivity plot feature, which helps the user to understand how variations in the inputs will impact the outputs for a particular material, formulation, or process.
Here are a few of the growing Intellegens team enjoying some downtime after our recent monthly team meeting. We’re recruiting for both technical and commercial positions at our Cambridge HQ. Why not join us?
- 3 Mar (online). Ansys Additive Manufacturing webinar.
- 14-15 Mar (London). AI in Drug Discovery 2022 – our partner Optibrium is speaking.
- 20-24 Mar (San Diego, CA / virtual). American Chemical Society Spring Meeting. Intellegens is speaking.
- 22-23 Mar (Online). AI UK 2022. Intellegens is speaking.
- 3-4 Apr (Chicago, IL). AMUG Conference. Meet us at the expo.
- 5-6 Apr (Birmingham, UK). MACH 2022. Intellegens will be on the ‘Made Smarter Innovation’ stand.
- 12-13 Apr (Birmingham, UK). MedicalAM 2022. Intellegens is speaking.
- 26 April (London). AI/ML in Formulation Design. Intellegens is speaking.
- 11-12 May (Birmingham, UK). CHEM UK 2022. Intellegens is exhibiting and speaking.
For more information on how our technology can be applied to your specific needs visit https://intellegens.com or contact us at email@example.com.