3 ways to stay ahead in the R&D race – Machine learning and time-to-market
Blog - Time-to-market is critical. How can machine learning help you to outpace the competition?
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Have you really got nothing better to do? Ditching the experimental treadmill
Aug 2021 - Intellegens is involved in a colloborative effort to develop a new materials data standard.
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Second Focus Group brings together growing Alchemite™ community
Nov 2021. The Second Alchemite™ Focus Group shared experiences of applying machine learning.
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Design of automotive catalysts at Johnson Matthey
Johnson Matthey – automotive catalysts | Reduced the amount of experiment required
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Alchemite™ powered deep learning with “small data”
Intellegens white paper. Strategies for applying machine learning when limited data is available.
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Alchemite™ deep learning – solving complex problems with real-world data
Intellegens white paper. An overview of the Alchemite™ deep learning technology.
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Improving materials data quality at Matmatch
Matmatch – specialist scientific data | Added value by gap filling and quality checking data
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Data-driven additive manufacturing with AMRC and Boeing
AMRC and Boeing - process parameters for AM | Reduce experimentation
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Formulation design with Domino Printing Sciences
Domino Printing Sciences – ink formulation | Maximised value from lab resources
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