REU Site: Applied Artificial Intelligence for Advanced Applications

REU 网站：高级应用的应用人工智能

• 批准号: 2349370
• 负责人: Elke Rundensteiner
• 金额: $ 46.16万
• 依托单位: Worcester Polytechnic Institute
• 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: 2024-04-15 至 2027-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349370&HistoricalAwards=false
• 关键词: REU; Site; Applied; Artificial; Intelligence

Artificial Intelligence (AI) is a game-changer in advancing data-driven solutions in areas from personalized healthcare, national security, smart transportation, e-commerce, to online education. Increased computing power, the availability of large digital data sets, and algorithmic advances in machine learning and Generative AI have made it possible for AI research and development to create new sectors of the economy and revitalize industries. Development of talent in AI is of utmost importance to ensure continued advancement and economic growth in AI with the potential for significant economic impact and quality-of-life improvements for all members of our society. Yet there are limited opportunities for undergraduate students to further their education and research in Artificial Intelligence despite its recognition as a STEM field of great importance and visibility in society recently (given the rise of ChatGPT and Generative AI). This program fills this gap by providing undergraduate students underrepresented in STEM the access to engage in meaningful Artificial Intelligence research. In particular, this project provides students from institutions across the country the opportunity to participate in AI research in WPI's Department of Computer Science and the Data Science and Artificial Intelligence programs via Research Undergraduate Experience summer sites successfully operated at WPI since 2016. The focus of this site is to tackle societal challenges in tackling bias and information integrity, advancing personalized digital health, and modeling critical resources such as renewable energy and human mobility - all interlinked concerns of national importance. This project provides a unique educational experience for undergraduate students by engaging them in vibrant research projects through which they tackle critical societal challenges via Artificial Intelligence tools and techniques. The students work in research teams, closely mentored by WPI faculty advisors and graduate students, and have ownership of a project for the duration of the summer. Undergraduate students participating in this project are trained in the best-practices AI-modeling pipeline from data preparation, model development, model evaluation, to model deployment. Further, they design and apply these techniques to solve impactful problems. Given the opportunity to solve pressing problems related to society and our well-being, the students are empowered to make a difference. To supplement the educational and research skill development of students, a weekly seminar series on professional development covering topics from research inquiry, ethics, communication skills to career opportunities in AI are held and networking events with industry partners are offered. Their involvement in this research program provides students the interpersonal communication, professional networking skills, and AI research skills that they would not encounter in the classroom, and thus encourages the students to find their interest and consider graduate studies. This project ultimately prepares students for AI-related professions with the potential for exciting leadership career opportunities -- thus contributing to the STEM workforce and the US economic prosperity.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.

人工智能（AI）是一种改变游戏规则的人，可以推进从个性化医疗保健，国家安全，智能运输，电子商务到在线教育领域的数据驱动解决方案。增加了计算能力，大型数字数据集的可用性以及机器学习和生成AI的算法进步，使AI研发和开发成为可能创建经济新领域并振兴行业。 AI人才的发展对于确保AI的持续发展和经济增长至关重要，并有可能对我们所有社会成员产生重大的经济影响和生活质量的改善。 然而，尽管本科生最近在社会上非常重要和知名度（鉴于Chatgpt and Generative AI的兴起），但本科生提供了进一步的人工智能教育和研究的机会。 该计划通过为本科生提供的代表性不足提供了从事有意义的人工智能研究的访问，从而填补了这一差距。特别是，该项目为来自全国各地机构提供的学生提供了参加WPI计算机科学系的AI研究以及通过研究本科生经验的数据科学和人工智能计划的AI研究，自2016年以来在WPI上成功运营的夏季站点。该站点的重点是解决偏见和信息综合和建模的社交挑战，以应对全国WPI的夏季经验。担心民族重要性。 该项目通过让他们参与充满活力的研究项目，为本科生提供独特的教育经验，通过这些研究项目，他们通过人工智能工具和技术来应对关键的社会挑战。学生在研究团队中工作，由WPI教师顾问和研究生密切指导，并在整个夏季期间拥有一个项目。 参加该项目的本科生接受了从数据准备，模型开发，模型评估到模型部署的最佳实践AI模型管道的培训。此外，他们设计并应用这些技术来解决有影响力的问题。 鉴于有机会解决与社会和我们的福祉有关的紧迫问题，学生有权有所作为。为了补充学生的教育和研究技能发展，举办了有关专业发展的每周一次研讨会系列，涵盖了研究调查，道德，沟通技巧，沟通技巧到AI职业机会的主题，并提供了与行业合作伙伴的网络活动。他们参与该研究计划为学生提供了人际交流，专业的网络技能和AI研究技能，他们在课堂上不会遇到，因此鼓励学生找到自己的兴趣并考虑研究生学习。该项目最终为学生提供了与AI相关的职业的准备，并有可能获得激动人心的领导职业机会 - 从而为STEM劳动力和美国的经济繁荣做出了贡献。该奖项反映了NSF的法定任务，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通过评估来获得支持的。