Investigating Alternative Energy Sources for Wearables and MEMS Sensors and the Role of AI in the Field (VIII/VIII)
The convergence of hybrid energy harvesting, AI-optimized MEMS sensors, and ultra-low-power neuromorphic computing is redefining the future of wearable technology, enabling battery-free, autonomous operation with high biomedical precision. This technological synergy—exemplified by analog AI chips like Polyn’s NeuroSense, multi-source harvesters from projects like SelfEnergyDriver, and Bosch’s integrated sensor-classifier systems—is not just improving energy efficiency by […]