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

物联网(IoT)标志着一场可与工业革命相媲美的技术革命的曙光。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将普适个性化智能(PPI)推向网络边缘，在网络边缘，延迟至关重要，移动性、隐私和情景感知是应用的基本特征。这项提案将研究建立一个专注于PPI的工业大学协作研究中心的可行性，以实现具有预测性而不是反应性的智能的全新应用程序类别。拟议的PPI中心将丰富教育资源和工具集，用于添加、现代化、调整和建议物联网软件应用程序中的智能。俄勒冈州立大学遗址在三次推力下进行活动。(1)ML和AI：增加开发者和终端用户对学习软件的信任，检测异常行为和模式，登入新用户。(2)安全与隐私：帮助终端用户做出不侵犯隐私的配置决策，在不泄露私人信息的情况下对用户的私人数据进行计算。(3)软件工程和人机界面：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都以方便的形式集成在一起，物联网设备提供了前所未有的令人兴奋的新应用和服务，在消费设备上是可能的。但只有当情报成为一种商品时，这些才能被利用。PPI将支持新的应用程序，这些应用程序将帮助美国保持和扩大其在计算领域的领导地位。拟议的中心致力于通过夏令营等方式扩大对计算的参与，夏令营的重点是为新手编写程序。为了更好地留住代表性不足的人群，拟议的中心将与技术协会合作，展示有助于人类的PPI应用程序。拟议的普及个性化智能中心将由俄勒冈州立大学、科罗拉多博尔德大学和行业合作伙伴组成。拟议的PPI中心将在ppicenter.org上维护成员、项目、会议材料、计划信息、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NSF的法定使命，并已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。

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.