Changing the Game
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. The PPI Center will support the thrusts that enable an entirely new class of applications with intelligence that is predictive instead of reactive, thus making processes more efficient and saving time, energy, and money.
The PPI Center is a multi-university, industry-focused research center under the supervision of the US National Science Foundation (NSF). We operate under the NSF IUCRC model. The pre-competitive (i.e., of interest to many companies) and industry-applied research projects we work on are funded by industry members, by our universities, and by the NSF.
Our 60+ companies represented at our meetings include many of the global high-tech companies, the leading companies in the IoT domain (smart buildings, smart home, smart city, Industry 4.0, smart health), and many medium-size and startups from Colorado, Oregon, Silicon Valley, and Japan. Our mission is to engage our industry members through twice-a-year workshops, progress reports, student internships, etc. We do not simply accept members as Corporate Affiliations; we want to work with engaged industry members. We are project-driven, and we stay accountable to our members for the progress we make. It is this accountability that makes us better and helps us to serve our members.
What We Do
The PPI Center will enrich the toolsets and educational resources for adding, modernizing, tuning, and suggesting intelligence in software applications for the IoT.
The Colorado site leads activities primarily under three thrusts:
Edge and Cloud Computing: Is it possible to identify and develop a small set of fundamental system-level services at the middleware layer to integrate mobile nodes, IoT devices, and edge servers?
Programming Languages and Verification: Can new techniques be created that enable software developers to effectively create rich PPI applications that, by construction, are secure, privacy-preserving, and reliable?
Software Engineering and Human-Computer Interaction: How can we retrofit and evolve PPI programming models into existing software? How people interpret visualized data and how can we use these models to drive novel visualization systems that support accurate analysis of complex data that better scale to the needs of modern analytics?
The Oregon State site pursues activities primarily under three thrusts:
Machine Learning and Artificial Intelligence: How do we increase the trust of developers and end-users in software that learns, detect anomalous behaviors and patterns, and on-boarding new users?
Security and Privacy: Can we help end-users make configuration decisions that do not violate their privacy and compute on users’ private data without revealing private information?
Visualization and Visual Analytics: How do we translate data into insight visually? Can we make this process of data-to-insight not only possible but also easy for our users? How can we help users better understand what their AI programs are telling them?
"We understand the importance of connecting and partnering with industry in very significant way."
Terri Fiez, Vice Chancellor for Research & Innovation
"With the collective power of this consortium, the possibilities are endless."