REU Site: Deep Learning: Theory, Concepts and Applications

该提案的目的是让那些渴望在计算机科学领域从事高级职业的聪明而有动力的本科生在职业生涯早期获得积极的研究经验。这项建议旨在开发一个可再生能源大学网站，通过接触大学研究中提供的机会，拓宽参与者的知识视野。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了解深度学习及其应用的基础知识和最新进展。他们将对新问题进行实践研究，进行实验，并通过书面论文和演示来传达他们的结果。REU学生将参与研究自然语言处理和深度学习及其应用，与大学环境中的教师导师和研究生一起。该项目将让本科生参与前沿研究，他们将编写软件来解决有趣和及时的问题，并撰写论文供出版。该提案旨在增加美国公民和永久居民本科生的数量，他们被计算机科学的研究和高级研究所吸引。理论和经验深度学习及其应用方面的培训将使参与者能够以创新的方式在最高水平上为无处不在的基于软件的技术做出贡献。该提案还将侧重于培训未来的计算机科学家，他们来自研究机会有限的机构，包括社区学院、妇女和代表性不足的少数民族。研究经验将鼓励这些学生在他们未来的职业生涯中成为学术和非学术环境中的富有成效的研究人员。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

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.