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.