NTR Webinar: Expert-in-the-Loop AI for Materials Discovery

NTR organizes and hosts scientific webinars on neural networks and invites speakers from all over the world to present their recent work at the webinars.

On March 23 Dmitry Zubarev, Research Staff Member, Technical Lead of Accelerated Materials Discovery @ Almaden Research Center, IBM Research – Almaden, USA, led a technical Zoom webinar on Expert-in-the-Loop AI for Materials Discovery.

About the webinar: 

The use of AI in knowledge-dense domains, e.g., chemistry, medicine, biology, etc., is promising, but often suffers from slow deployment and adaptation to different tasks. 

We proposed a methodology to quickly capture the intent and expertise of a domain expert in order to train personalized task-specific AI models.  

Our expert-in-the-loop approach increases the volume of computer-generated materials candidates that transition into the experimental phase. Continued interaction of the AI model with the subject matter experts enables capture and utilization of tacit expert-level knowledge and context-specific constraints unavailable otherwise. 

We discussed application of the proposed approach to the lab-scale studies of several families of polymer materials.

Moderator and contact:

NTR CEO Nick Mikhailovsky: nickm@ntrlab.com.

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