Core Insights - The application of AI has expanded beyond protein structure prediction to various fields such as chemistry, medicine, and neuroscience, driven by interdisciplinary research and recent awards recognizing such efforts [1][3][4] Group 1: Interdisciplinary Research - The trend of interdisciplinary research is gaining momentum, with many fields continuously intersecting with AI [3] - Scientists emphasize the importance of AI in understanding complex data, particularly in molecular science and biomedicine, where data volume is rapidly increasing [3][4] - Researchers are utilizing domestic chips to build AI computing platforms, competing with international research teams [1][4] Group 2: AI in Molecular Science and Medicine - In molecular science, AI is being used to analyze vast amounts of data, with new research directions emerging, such as virtual cell studies [3][4] - AI applications in medicine include predicting genetic diseases and understanding brain functions through large-scale neural modeling [5][6] Group 3: AI in Robotics and Sensor Technology - Embodied intelligence, a cross-disciplinary area involving AI and robotics, is paving the way for advancements in robot intelligence [6] - Current challenges in sensor design for embodied intelligence include limitations in existing materials and the need for more flexible and cost-effective solutions [6][7] - Future developments may include the integration of olfactory and gustatory sensors to enhance robots' capabilities in domestic environments [7]