About the Webinar
Recorded: Wed, 12/18/24
Machine Learning algorithms use the inputs you give it to learn how to do something. But it is not a one-way street. AI in materials product development increases productivity and also increases the development of novel, performant materials. There may however be a change in the role of scientists; top performing scientists with high creativity and good judgment, based on superior domain knowledge, are able to learn from AI to become even more productive than their peers.
In this webinar we will show you both how the Citrine Platform learns from experts and how experts can learn from the AI Models they create to refine their domain knowledge and use it to better choose which experiments to do in the lab.
What you will learn:
- How AI Models uncover insight, and how the Citrine Platform makes this insight accessible
- Best practices in teaching your AI Model, and how to do this in the Citrine Platform
“We understand our own laboratory more than before. It’s fun to work in this way.”
—Oliver, Technical Application Lead
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