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.

该项目是一项扩大人工智能能力建设试点(CAP)，重点是在德克萨斯农工大学圣安东尼奥分校建立强大的人工智能(AI)基础设施，从而提高该机构的研究能力，促进以人工智能为重点的教育课程开发和培训。为了实现这一目标，该项目将发起两项倡议：(1)基础性和受使用启发的人工智能研究倡议和(2)人工智能普及教育和培训倡议。“基础性和受使用启发的人工智能研究计划”专注于旨在提高医疗保健生活质量、转变国防安全和有效利用云计算资源的研究。“人工智能全民教育和培训计划”旨在通过制定课程和为教师和研究人员提供培训，激发人们对人工智能的兴趣，提高对包括女性在内的少数群体的认识，并推动其事业发展。该项目在医疗保健、网络安全和云计算领域有多个相互关联的人工智能研究线索，对于满足未来的社会期望至关重要。该项目的预期成果将包括：(I)对增强自动医学成像可靠性和可信性的研究做出新的贡献；(Ii)降低在云上运行包含恶意软件的软件的风险；以及(Iii)高效利用基于云的AI-ML资源。扩展人工智能计划支持少数族裔服务机构的人工智能驱动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，并在STEM职业生涯中为历史上被边缘化的社区提供新的机会。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。