Towards battery-free machine learning and inference in underwater environments
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi
Abstract
This paper is motivated by a simple question: Can we design and build battery-free devices capable of machine learning and inference in underwater environments? An affirmative answer to this question would have significant implications for a new generation of underwater sensing and monitoring applications for environmental monitoring, scientific exploration, and climate/weather prediction.
Topics & Concepts
UnderwaterInferenceComputer scienceBattery (electricity)MicrocontrollerArtificial intelligenceProof of conceptMachine learningPower (physics)Embedded systemOceanographyGeologyQuantum mechanicsOperating systemPhysicsUnderwater Vehicles and Communication SystemsUnderwater Acoustics ResearchMarine animal studies overview