Chieh

Real-time AI4HEP JUST - small Shih-Chieh Hsu.pdf

Investing in the scientific workforce and enhancing computational and technological infrastructure is crucial. To achieve this goal, funding agencies should support programs that foster a supportive, collaborative work environment; help recruit and retain diverse talent; and reinforce professional standards. Targeted increases in support for theory, general accelerator R&D (GARD), instrumentation, and computing will bolster areas where US leadership has begun to erode. These areas align with national initiatives in artificial intelligence and machine learning (AI/ML) , quantum information science (QIS), and microelectronics, creating valuable synergies. Such increased support maximizes the return on scientific investments, fosters innovation, and benefits society in domains from medicine to national security.