Dec.10_9:30_サステナビリティ・キーノート🌿

The rapid expansion of artificial intelligence is driving unprecedented demand for semiconductors, high-performance computing, and data centers, bringing significant challenges related to energy consumption, carbon emissions, and resource utilization. As the world seeks to balance technological progress with environmental responsibility, innovation across the semiconductor value chain has become critical to enabling a more sustainable digital future.

This keynote will explore how materials science can help address these challenges through the development of advanced semiconductor materials and manufacturing solutions. From atom-efficient molecular design and synthesis to reducing waste and improving resource productivity, sustainable materials innovation plays a key role in supporting next-generation AI technologies while minimizing their environmental footprint.

The presentation will also highlight how Merck is leveraging AI-driven innovation to accelerate materials discovery and development. By combining data science, computational modeling, and advanced experimentation, Merck is shortening development cycles, improving R&D efficiency, and enabling the design of more sustainable materials solutions. Through this intersection of AI and sustainability, the keynote will demonstrate how digital technologies and materials innovation can work together to address the growing demands of the AI era.