Track: Internet of Things |
| AI@Edge: The Next-generation of Environmental Sensing and IoT Systems |
| From the sensor to the laptop, from the telescope to the supercomputer, from the microscope to the database, scientific discovery is part of a connected digital continuum that is dynamic and fast. In this new digital continuum, artificial intelligence (AI) is providing tremendous breakthroughs, making data analysis and automated responses possible across the digital continuum. At Argonne National Laboratory and Northwestern University, we have been researching and deploying the next-generation of environmental sensing and IoT systems built by combining the powerful edge-computing paradigm with cutting-edge AI/ML algorithms and techniques. Sage is a National Science Foundation funded project to build a national cyberinfrastructure for programmable edge computing, leveraging Department of Energy (DOE) funded Waggle AI@Edge platform. This new edge computing programming framework gives scientists a new tool for exploring the impacts of global urbanization, natural disasters such as flooding and wildfires, and climate change on natural ecosystems and city infrastructure. The Sage infrastructure allows scientists to write “software-defined sensors” by analyzing the data in situ, at the edge, at the highest resolution of data. Data from the edge computation are then transmitted to a cloud computing infrastructure where they can be archived and provided to the community as data products or used in real time to trigger computational models or dynamically modify subsequent edge computation. Sage is deploying cyberinfrastructure in environmental test-beds in California, Montana, Colorado, and Kansas, in the National Ecological Observatory Network, and in urban environments in Illinois and Texas. In this talk, using Sage and other DOE efforts that utilize Waggle as examples, we will discus |
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