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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2024
资助国家:
美国
项目状态:
未结题
起止时间:
2024-01-01 至 2025-12-31

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中文摘要
翻译
该项目是一个ExpandAI能力建设试点项目(CAP),其重点是在德克萨斯农工大学圣安东尼奥分校建立一个强大的人工智能(AI)基础设施,从而提高该机构的研究能力,并促进以人工智能为重点的教育课程开发和培训。为实现这一目标,该项目将启动两项倡议:(1)基础和使用启发型人工智能研究倡议;(2)全民人工智能教育和培训倡议。“基于基础和使用的人工智能研究计划”侧重于提高医疗保健生活质量,转变国防安全以及有效利用云计算资源的研究。“全民人工智能教育和培训计划”旨在通过开发课程和为教师和研究人员提供培训,在包括女性在内的代表性不足的少数群体中引起对人工智能的兴趣,提高认识,并推动人工智能事业的发展。该项目在医疗保健、网络安全和云计算领域的多个相互关联的人工智能研究线程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)为提高自动化医学成像的可靠性和可信度的研究作出新的贡献;(ii)降低在云端运行包含恶意软件的软件的风险;(iii)有效利用基于云的AI-ML资源。ExpandAI计划支持少数族裔服务机构的人工智能教育和劳动力发展、基础设施和研究,以加强和多样化美国的研究和教育途径,并为历史上被边缘化的社区提供STEM职业的新机会。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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