UC Merced Magazine | Volume XX, Issue VI

limited resources. e lab is collaborating on a project with Central California Asthma Collaborative, SocioEnvironmental and Education Network and UC Merced Science and Conservation Field Station to monitor air quality in the San Joaquin Valley. “We have very bad air quality in the Valley. Considering the socioeconomic disadvantages in the region, it’s di cult to have sensors as dense as would be possible in the

Silicon Valley,” Pan said. “Incorporating AI will allow us to have a more accurate geospatial mapping even with very sparse sensor measurements.” Small (resource constrained) devices still pose a challenge, Pan said. “We need to come up with a smarter way to deploy AI in many small devices at scale, and this will unlock more of AI’s potential for social good,” she said. “ at’s why we focus on AI of ings that people use in their lives.”

With powerful AI models, signals from these sensors can be used for tracking medicine intake and other daily activities. However, the embedded systems o en have limited computational power and memory, so Pan and her team are exploring e cient on-board inference. Tracking Air Quality e PANS Lab is also using AI to better characterize the impacts of air pollution, especially from short-term events caused by wild res, with

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