CAP: AI-Ready Institution Transforming Tomorrow's Research and Education with AI Focused on Health and Security (Jag-AI)

CAP：人工智能就绪机构通过专注于健康和安全的人工智能改变未来的研究和教育 (Jag-AI)

• 批准号: 2334243
• 负责人: Jeong Yang
• 金额: $ 38.55万
• 依托单位: Texas A&M University-San Antonio
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334243&HistoricalAwards=false
• 关键词: CAP; AI; Ready; Institution; Transforming

This project is an ExpandAI Capacity building pilot (CAP), which focuses on establishment of a robust Artificial Intelligence (AI) infrastructure at Texas A&M University-San Antonio, thereby enhancing the research capacity of the institution and facilitating AI-focused educational curriculum development and training. Towards this goal, the project will launch two initiatives: (1) Foundational and Use-Inspired AI Research Initiative and (2) AI for All Education and Training Initiative. The “Foundational and Use-Inspired AI Research Initiative” focuses on research aimed at improving healthcare quality of life, transforming national defense-security, and effective utilization of cloud computing resources. The “AI for All Education and Training Initiative” aims to generate interest, increase awareness, and advance careers in AI among underrepresented minority groups, including women, by developing curricula & providing training to faculty and researchers.The project’s multiple inter-connected AI research threads in healthcare, cybersecurity and cloud computing, are crucial to meeting future societal expectations. The expected outcomes of the project will include (i) novel contributions to research for enhanced reliability and trustworthiness of automated medical imaging; (ii) reduced risks of running software containing malware on cloud and (iii) efficient utilization of cloud-based AI-ML resources. The ExpandAI Program supports AI-powered education and workforce development, infrastructure and research at Minority Serving Institutions to strengthen and diversify U.S. research and education pathways and provide historically marginalized communities with new opportunities in STEM careers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目是一个扩展的能力建筑飞行员（CAP），该项目着重于在德克萨斯州A＆M University-San Antonio建立健壮的人工智能（AI）基础设施，从而提高了该机构的研究能力并支持以AI为重点的教育课程发展和培训。为了实现这一目标，该项目将启动两个计划：（1）基础和使用启发的AI研究计划以及（2）所有教育和培训计划的AI。 “基础和使用启发的AI研究计划”着重于旨在改善医疗保健生活质量，改变国防安全以及有效利用云计算资源的研究。 “所有教育和培训计划的人工智能”旨在通过开发课程并为教师和研究人员提供培训来引起人为不足的少数群体（包括妇女）的兴趣，提高职业。该项目的预期结果将包括（i）对自动化成像的可靠性和可信赖性的研究的新贡献； （ii）降低了在云上运行包含恶意软件的软件的风险，并且（iii）有效利用了基于云的AI-ML资源。 Expandai计划支持少数派服务机构的教育和劳动力发展，基础设施和研究，以加强和多样化美国的研究和教育途径，并为历史上的边缘化社区提供了STEM职业的新机会。该奖项反映了NSF的法定任务，并通过对基金会的智力进行了评估，以评估良好的支持。