Adaptive Extreme Edge Computing for Wearable Devices

Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive distributed networks, power consumption, processing speed, system adaptation vital future smart wearable devices. The visioning forecasting how bring computation edge have already begun, an aspiration provide adaptive extreme computing. Here, we holistic view hardware theoretical solutions toward that can guidance research this computing era. We propose various biologically plausible models continual learning neuromorphic technologies sensors. To envision concept, systematic outline which prospective low latency scenarios platforms expected. successively describe potential landscapes processors exploiting complementary metal-oxide semiconductors (CMOS) emerging memory (e.g., memristive devices). Furthermore, evaluate requirements within terms footprint, latency, data size. additionally investigate challenges beyond hardware, algorithms could impede enhancement