REU Site: Artificial Intelligence for Computational Creativity

REU 网站：人工智能促进计算创造力

• 批准号: 2150184
• 负责人: Daniel Ritchie
• 金额: $ 31.33万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150184&HistoricalAwards=false
• 关键词: REU; Site; Artificial; Intelligence; Computational

This REU site will enable a diverse group of undergraduates to participate in the production of original, interdisciplinary research on artificial intelligence for computational creativity. It will help individual students build critical computer science research capacity, communication and professional skills, to increase their confidence and gain a greater understanding of the research process. They will gain understanding of pathways to graduate degrees and prepare for the application process. More generally, this project will develop a multi-year pipeline of diverse student researchers, helping to improve diversity in the fields of AI and visual computing. While students may be new to AI research, creativity applications in this field can help bridge the gap and get students excited about computer science by helping them realize the intersection of their personal creative visions and AI research. This site will bring together the well-established network of Leadership Alliance minority-serving and undergraduate-focused institutions with multiple AI research opportunities to produce cohorts of diverse students highly-qualified for graduate degree programs. The research projects encompass the AI disciplines of machine learning, reinforcement learning, computer vision, natural language processing, and robotics, plus adjacent disciplines such as graphics and human-computer interaction. Areas of interest include creative generative models, evaluating generated content, and user experience design for creative AI. Students will be closely mentored by faculty and graduate students in their research labs, and supported by surrounding research groups and the resources provided by the Leadership Alliance. They will receive technical training in AI and machine learning fundamentals, including deep neural networks. They will be trained in reading, writing, and presenting their work and will put these skills into practice at research symposia and workshops.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.

REU 网站将使不同的本科生群体能够参与人工智能计算创造力的原创、跨学科研究。它将帮助学生个人建立关键的计算机科学研究能力、沟通和专业技能，以增强他们的信心并更好地了解研究过程。他们将了解研究生学位的途径并为申请过程做好准备。更广泛地说，该项目将开发一个由多元化学生研究人员组成的多年管道，有助于提高人工智能和视觉计算领域的多样性。虽然学生可能是人工智能研究的新手，但该领域的创造力应用可以帮助缩小差距，并通过帮助学生实现个人创意愿景与人工智能研究的交叉点来激发学生对计算机科学的兴趣。该网站将汇集领导力联盟少数族裔服务机构和本科院校的完善网络，并提供多种人工智能研究机会，以培养高素质研究生学位课程的多元化学生群体。这些研究项目涵盖机器学习、强化学习、计算机视觉、自然语言处理和机器人技术等人工智能学科，以及图形学和人机交互等邻近学科。感兴趣的领域包括创意生成模型、评估生成的内容以及创意 AI 的用户体验设计。学生将在研究实验室中得到教师和研究生的密切指导，并得到周围研究小组和领导力联盟提供的资源的支持。他们将接受人工智能和机器学习基础知识（包括深度神经网络）的技术培训。他们将接受阅读、写作和展示工作的培训，并将这些技能在研究研​​讨会和研讨会上付诸实践。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。