Session Synopsis:
The integration of Artificial Intelligence (AI) into chemical sciences is revolutionizing research, development, and industrial processes, significantly enhancing our capabilities in various areas, from material discovery and reaction optimization to process operations and business decision-making. Advances in generative AI also have the potential to drive substantial breakthroughs in innovation and productivity, transforming industries and workflows. However, adopting AI in this sector presents unique challenges, including the necessity for high-quality, domain-specific data, the complexity of modeling chemical systems, and the lack of interdisciplinary expertise connecting AI and chemical sciences. This session will explore the challenges and opportunities of adopting AI, providing insights into how to effectively and responsibly harness its transformative power.