REU Site: Deep Learning: Theory, Concepts and Applications

REU 网站：深度学习：理论、概念和应用

• 批准号: 2050919
• 负责人: Jugal Kalita
• 金额: $ 40.5万
• 依托单位: University of Colorado at Colorado Springs
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050919&HistoricalAwards=false
• 关键词: REU; Site; Deep; Learning; Theory

The objective of this proposal is to expose bright and motivated undergraduates who aspire to pursue advanced careers in Computer Science to active research experience early in their careers. This proposal seeks to develop an REU site to broaden the intellectual horizon of participants through exposure to opportunities available in university research. Students will be involved in research projects in deep learning and its applications, in particular, natural language processing, bioinformatics and computational medicine. Students will be exposed to the fundamentals as well as latest advances in deep learning and its applications via lectures and personalized readings. They will perform hands-on research on novel problems, conduct experiments, and communicate their results through written papers and presentations. The REU students will be involved in research natural language processing and deep learning and its applications, alongside faculty mentors and graduate students in a university environment. The project will involve undergraduate students in cutting-edge research where they will write software to solve interesting and timely problems and write papers for publication. The proposal seeks to increase the number of American citizens and permanent resident undergraduates who are attracted to careers in research and advanced studies in Computer Science. Training in theoretical and empirical deep learning and its applications will enable participants to contribute to ubiquitous software-based technologies at the highest levels in innovative ways. The proposal will also focus on training future computer scientists from institutions with limited research opportunities including community colleges, women and under-represented minorities. The research experience will encourage these students to be productive researchers in academic and non-academic environments during their future 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.

该提议的目的是揭露渴望从事计算机科学领域的高级职业的聪明而有动力的大学生，以便在职业生涯的早期开始积极的研究经验。该建议旨在开发一个REU站点，以通过接触大学研究的机会来扩大参与者的智力视野。学生将参与深度学习及其应用的研究项目，特别是自然语言处理，生物信息学和计算医学。学生将通过讲座和个性化阅读来接触基本面以及深度学习及其应用的最新进展。他们将对新的问题，进行实验进行动手研究，并通过书面论文和演讲来传达其结果。 REU学生将与大学环境中的教师导师和研究生一起研究自然语言处理和深度学习及其应用。该项目将涉及本科生参与尖端研究，他们将编写软件来解决有趣，及时的问题并撰写论文以发表。该提案旨在增加受到计算机科学研究和高级研究职业的吸引的美国公民和永久居民本科生的数量。理论和经验深度学习及其应用的培训将使参与者以创新的方式以最高级别的最高水平为基于软件的技术做出贡献。该提案还将集中于培训来自机构的未来计算机科学家，其中包括社区学院，妇女和代表性不足的少数民族在内的研究机会有限。研究经验将鼓励这些学生在未来职业期间成为学术和非学术环境中的生产研究人员。该奖项反映了NSF的法定使命，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估标准来通过评估来获得支持的。