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Adaptive sensing and computing towards always-on context-awareness - Presented by Marian Verhelst
- 11 AM ET
- Webinar - Online
- Abira Sengupta – email@example.com
- Abstract: Future mobile electronic devices will be equipped with more and more sensors that require always-on operation, to bring continuous context-awareness to the mobile device. Enabling this at near-zero power budgets, is only feasible if the device can continuously tune its own performance and hardware configuration in function of the sensory context. This requires combining research on adaptive sensor interfaces, embedded machine learning, and reconfigurable computing.We propose two important self-adaptivity techniques which can be exploited both in the sensor interfaces, as well as in the subsequent machine learning processing layer: 1.) hierarchical activation, and 2.) precision scalability. Both techniques will be illustrated with practical silicon implementations to assess their benefits, and this for always-on acoustic sensing and always-on image recognition applications. The resulting hardware context-awareness will be crucial in achieving the necessary 10x energy improvement for further miniaturization of mobiles, wearables and the IoT.Bio: Marian Verhelst is an assistant professor at the MICAS laboratories (MICro-electronics And Sensors) of the EE Department of KU Leuven, Belgium, as of 2012. Her research focuses on self-adaptive circuits and systems, and low-power sensing and processing for the internet-of-things. From 2008 till 2011, she worked in the Radio Integration Research Lab of Intel Labs, Hillsboro OR, doing research on digital assistance of configurable wireless radio front-ends. Marian received a PhD from KU Leuven cum ultima laude in 2008, and was a visiting scholar at the Berkeley Wireless Research Center (BWRC) of UC Berkeley in the summer of 2005.Marian has a passion for inter-disciplinary collaborations and science communication, is a member of the Young Academy of Belgium, and has published over 60 papers in conferences and journals. She is a member of the ISSCC and DATE TPC, as well as a member of the executive committees of DATE and ISSCC. Marian is an SSCS Distinguished Lecturer, and an associate editor of JSSC.