1 / 9

An exhaustive guide to Explainable AI for Material Science & Informatics

High-performance Machine Learning / AI algorithms have been inadequate in precisely explaining their so-called accurate predictions. Balance of engineering and domain expertise helped us build consistent, robust, and domain-expertise-backed models that drive real growth for R&D Labs across the world.<br>Know more: https://polymerize.io/

Polymerize
Download Presentation

An exhaustive guide to Explainable AI for Material Science & Informatics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An exhaustive guide to Explainable AI for Material Science & Informatics

  2. High-performance Machine Learning / AI algorithms have been inadequate in precisely explaining their so-called accurate predictions.

  3. In the majority of cases, there are fundamental issues ( overfitting, high complexity, generalization errors ) with the models and/or the process that haunt engineers later, after they’ve invested a significant amount of time and resources, eventually finding out the discrepancy.

  4. Our team of experts ( Polymer and AI Scientists ) solved this problem by using a comprehensive closed-loop strategy.

  5. The AI engineers made sure they open the black-box models (with explainability and interpretability), to quantify and highlight relationships between the input formulations and output properties in the data.

  6. Consequently, Polymer Scientists were responsible for analyzing and validating given relationships with academic research and development frameworks of the industry before approving the model for usage.

  7. Power your materials research with Polymerize today

  8. Contact Us: Address: Polymerize, 11 IRVING PLACE, #09-01, Singapore, Singapore 369551 Business mail: contact@polymerize.io Phone: +65 3138 5586

More Related