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Machine Learning algorithms use the inputs you give them to learn how to do something. But it is not a one-way street. A recent study by an MIT economics researcher, shows that using AI in materials product development increases both productivity and the development of novel, performant materials. It also highlighted a change in the role of scientists and how already top performing scientists with high creativity and good judgment, based on superior domain knowledge, were able to exploit the 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 take to the lab.

• Learn best practices in teaching your AI Model, and how to do this in the Citrine Platform
• Hear how AI models uncover insight, and how the Citrine Platform makes this insight accessible