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UK funding (£149,613): Machine Learning for Additive Manufacturing Experimental Design Algorithm (MEDAL) Ukri1 Dec 2020 UK Research and Innovation, United Kingdom
Overview
Text
Machine Learning for Additive Manufacturing Experimental Design Algorithm (MEDAL)
| Abstract | MEDAL will develop a method of optimising process parameters by suggesting a minimum number of new experiments based on legacy data. This will significantly reduce process optimisation cost and time. |
| Category | BIS-Funded Programmes |
| Reference | 74909 |
| Status | Active |
| Funded period start | 01/12/2020 |
| Funded period end | 30/11/2021 |
| Funded value | £149,613.00 |
| Source | https://gtr.ukri.org/projects?ref=74909 |
Participating Organisations
| Intellegens Limited |
£104,647.00 |
| University of Sheffield |
£44,966.00 |
The filing refers to a past date, and does not necessarily reflect the current state. The current state is available on the following page: Intellegens Ltd., Saffron Walden.
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