The potential of energy harvesting and batteryless sensing promises a future where IoT devices will become sustainable, long-lasting, and maintenance free. Given the significant challenges involved with building and programming such devices, it is reasonable to question whether energy harvesting based IoT can replace existing wearables (fitness trackers, smartwatches, or medical devices), while providing a reliable user experience. Hence, an important question arises: “What role can energy harvesting based sensing play in the age of AI and deep learning?” While energy harvesting based sensors can unlock new applications in wearables and personalized data analytics, the path towards integrating them into the modern deep learning landscape requires substantial intellectual innovation. This workshop aims to bridge multiple perspectives in wearable sensing and data analytics in the modern age of AI.

We invite prospective authors to submit extended abstracts (2 pages) covering existing or new research (or position papers) related to AI for energy harvesting devices and systems. Accepted papers will be presented via 10 minute "flash talks" during the workshop. Topics of interest include but are not limited to: