The potential of AI in empirical design of experiments is evident, but mostly untapped. Novel AI solutions for design of experiments are expected to emerge in topics such as industrial R&D laboratory, pharma, chemical industry, forest industry and metallurgical industry. This webinar will spotlight AI-driven design of materials and share perspectives on, for example, use of Bayesian optimization to accelerate empirical material and process development. Besides the academic overview, the webinar will feature industry professionals who will provide practical examples and share insights into the needs from industry side. 

SPEAKERS

• Mikko Mäkelä, Research Professor, VTT (FCAI Host)
• Morten Bormann Nielsen, Product Manager, Danish Technological Institute