IUCRC Planning Oregon State University: Center on Pervasive Personalized Intelligence (PPI)

物联网（IoT）标志着一场与工业革命相媲美的技术革命的开始。在这个新时代，智能计算变得具有预见性、主动性和适应性。物联网系统的下一个重大增长将来自于将普适个性化智能（PPI）推向网络边缘，在那里延迟是至关重要的，移动性、隐私性和上下文感知是应用程序的基本品质。该提案将研究建立一个专注于PPI的产学研合作研究中心的可行性，该中心将实现一种全新的智能应用，这种智能是预测性的，而不是被动的。拟建的PPI中心将丰富教育资源和工具集，用于在物联网软件应用中添加、现代化、调整和建议智能。俄勒冈州遗址在三个推力下开展活动。(1)机器学习和人工智能：增加开发人员和最终用户对学习软件的信任，检测异常行为和模式，引导新用户。(2)安全和隐私：帮助最终用户做出不侵犯其隐私的配置决策，在不泄露隐私信息的情况下计算用户的隐私数据。(3)软件工程和HCI：将PPI编程模型改造到现有软件中，确保PPI系统的包容性设计。凭借其丰富的传感器、摄像头和GPS阵列，物联网设备以一种方便的形式集成，提供了令人兴奋的新应用和服务，这在消费设备上是前所未有的。但只有当智能成为一种商品时，这些才能被利用。PPI将使新的应用程序能够帮助美国保持和扩大其在计算领域的领导地位。拟议中的中心致力于通过诸如为新手开设编程夏令营等方式来扩大计算机领域的参与。为了提高对未被充分代表的人口的保留，拟议中的中心将与技术协会合作，展示有助于人类的PPI应用。拟议中的普及个性化智能中心将由俄勒冈州立大学、科罗拉多大学博尔德分校和行业合作伙伴组成。拟建的PPI中心将在ppicenter.org上维护一个成员、项目、会议材料、项目信息、出版物、数据、代码和结果的目录。该网站将无限期开放，或直到中心过渡到下一阶段。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Internet of Things (IoT) marks the dawn of a technological revolution that rivals the industrial revolution. In this new era, intelligent computing becomes anticipatory, proactive, and adaptive. The next big growth in IoT systems will come from pushing Pervasive Personalized Intelligence (PPI) to the edge of the network, where latency is critical, and mobility, privacy, and context awareness are essential qualities of the application. This proposal will study the feasibility of establishing an industry university collaborative research center focused on PPI that enable an entirely new class of applications with intelligence that is predictive instead of reactive. The proposed PPI Center will enrich the educational resources and toolsets for adding, modernizing, tuning, and suggesting intelligence in software applications for the IoT. The Oregon State Site pursues activities under three thrusts. (1) ML and AI: increasing the trust of developers and end-users in software that learns, detecting anomalous behaviors and patterns, on-boarding new users. (2) Security and Privacy: helping end-users make configuration decisions that do not violate their privacy, computing on users' private data without revealing private information. (3) Software Engineering and HCI: retrofitting PPI programming models into existing software, ensuring that PPI systems are inclusively designed.With their rich array of sensors, camera, and GPS all integrated in a convenient form, IoT devices offer exciting new applications and services, never before possible on consumer devices. But these can be harnessed only if intelligence becomes a commodity. PPI will enable novel applications that will help the U.S. maintain and expand its leadership in computing. The proposed Center is committed to broadening participation in computing through, for example, summer camps focusing on programming for novices. To improve the retention of underrepresented populations, the proposed Center will work with technology associations to showcase PPI applications that help humanity.The proposed Center on Pervasive Personalized Intelligence will be composed of Oregon State University, the University of Colorado Boulder, and industry partners. The proposed PPI Center will maintain a catalog of members, projects, meeting materials, program information, publications, data, code, and results at ppicenter.org. The website will be made available indefinitely or until the Center transitions to the next phase.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.