Speaker: David Peaslee (bio)

Title: Environmental Monitoring as an Application for Artificial Intelligence: Key Opportunities for Computational Solutions

Abstract: Environmental monitoring for determining air quality is already a high-profile commercial concept that has generated Silicon Valley Startups, and is gaining interest from the largest computational entities (Google, Apple, Microsoft, Intel…). While the air quality of our homes and workplaces is important, there are other applications that still need serious study and development to become useful tools in the future.  Low-cost and low-power sensors have enabled these sensing arrays to be integrated into our personal electronics, but now we have a problem of too much data, with not enough information to make an informed decision.
Topics will be discussed that include hydrogen gas station monitoring, International Space Station monitoring, and personal health monitoring. For each of these applications there is a computational gap that needs to be filled out with edge computing, machine/deep learning, and compression algorithms, to guarantee a successful future for humanity.