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Revolutionising Material R&D: The Impact of AI and Machine Learning on Material Innovation

This session addresses how AI and machine learning are redefining material R&D, from accelerating discovery to optimising material properties. It will explore the balance between machine-driven innovation and human expertise, challenging the traditional R&D paradigms.

Questions for discussion:

  • Can AI replace the intuitive aspect of human-driven material innovation?
  • How are Machine Learning algorithms transforming material property optimisation? 
  • What ethical considerations arise from AI-driven material development?

 

Confirmed talk: 

The Importance of Usability and Scalability in AI Platforms for Materials

  • Dr. Hannah Melia, Product Marketing, Citrine Informatics