Revolutionising Material R&D: The Impact of AI and Machine Learning on Material Innovation
Thursday, 14 November 2024
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 talks:
Designing new and more sustainable materials with machine learning
- Dr. Tom Whitehead, Head of Machine Learning, Intellegens
The Importance of Usability and Scalability in AI Platforms for Materials
- Dr. Hannah Melia, Product Marketing Citrine Informatics
How to Use Data-Pipelines in Machine Learning for Material Science
- Dr. Jakob Zeitler, Head of R&D, Matterhorn Studio