Detecting low-energy particles with high spatial and energy resolution remains a challenge in experimental neutrino physics, the search for dark matter, and high-precision medical imaging. Germanium (Ge) detectors with internal charge amplification and multiple strip contacts offer a promising solution to the challenge. This project will advance Ge material research and detector technology using artificial intelligence (AI) and innovative fabrication techniques. Led by the University of South Dakota (USD), this statewide collaboration includes six institutions in South Dakota. Project partners include PhD-granting universities USD, South Dakota State University, and South Dakota School of Mines and Technology, alongside undergraduate institutions Black Hills State University, Dakota State University, and Mount Marty University. Two industry partners, Avera Health and Sanford Health, will contribute expertise in medical imaging. This project will enhance STEM education and workforce development by recruiting four faculty members and eight postdoctoral researchers, while also providing hands-on training to 100 college students and engaging 380 K-12 students and teachers across South Dakota. The project will advance AI-driven Ge crystal growth and detector technology to enhance the detection of low-energy particles and accuracy of medical imaging. The project will explore and implement Ge Internal Charge Amplification technology to improve the detection of terahertz radiation