CyberTraining: Pilot: Linear Algebra Preparation for Emergent Neural Network Architectures (LAPENNA)

在这个项目中，组织了线性代数应急神经网络结构准备(LaPenna)计划，以提供必要的知识来提高人工智能素养，以维持数据驱动型科学的网络基础设施(CI)生态系统中劳动力的增长和发展。该计划为教师、学生和研究人员提供了数值数学、线性代数软件、数据驱动方法和机器学习工具方面的综合专业知识，以解决数据科学应用程序中的日常问题。该计划旨在培养大学研究人员，使他们能够支持、设计和指导他们自己的内部数据驱动的科学计划，并将他们的研究观点纳入他们的课程课程。在拉佩纳的指导下收集的知识和经验将有益于CI从业者以及普遍感兴趣的各方，从而培养新的合作伙伴、潜在的研究计划和劳动力培训计划。LAPENNA专注于在新兴的CPU云系统和GPU平台上提供算法和计算技术、数值和编程程序以及人工智能软件实施。它每年举办两次培训课程。提供了10个网络研讨会/讲座，并提供辅助在线教程，供一般公众使用。在每一次会议中，八个教职员工/研究人员和学生团队被选为参加勒佩纳项目的人员。每个团队由来自一个机构的两名成员组成。每个队列的培训为期六个月，最后是为期一周的现场研讨会。后续问答环节在培训活动期间和之后将大学团队和PI联系起来，并继续为他们提供硬件和软件支持。LaPenna提供对普通CI从业者有用和可用的在线材料。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

In this project, the Linear Algebra Preparation for Emergent Neural Network Architectures (LAPENNA) program is organized to provide essential knowledge to advance literacy in AI to sustain the growth and development of the workforce in the cyberinfrastructure (CI) ecosystem of data-driven science. This program provides integrated expertise to faculty, students, and researchers the knowledge in numerical mathematics, linear algebra software, data-driven methods, and machine learning tools to tackle day to day problems in data science applications. This program aims to prepare college researchers to enable, design, and direct their own in-house data-driven science programs and incorporate perspectives from their research into their course curricula. The knowledge and experiences gathered under the direction of LAPENNA will be beneficial to CI practitioners as well as to general interested parties leading to fostering new collaborative partners and potential research initiatives and workforce training programs.LAPENNA focuses on delivering algorithmic and computational techniques, numerical and programming procedures, and AI software implementation on emergent CPU cloud systems and GPU platforms. It runs two training sessions every year. Ten webinars/lectures are delivered with supporting online tutorials available for general public use. In each session, eight teams of faculty/researchers and students are selected to participate in the LEPENNA program. Each team consists of two members from an institution. The training for each cohort lasts for six months and concludes with an on-site one-week workshop. Follow-up Q & A sessions connect the college teams and PIs during and after the training events and continue to provide hardware and software support to them. LAPENNA delivers online materials that are useful and available to general CI practitioners.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.