Explores the evolution of cloud computing to support IoT applications and the challenges faced by deep learning algorithms in processing data from smart sensors.
Explores sensing considerations for industrial use cases, emphasizing the importance of understanding specific application fields and the convergence in sensor requirements across different IoT products.
Explores designing computing systems for IoT, emphasizing energy efficiency, self-learning, and brain-inspired features in healthcare, transportation, and production.
Delves into the energy-efficient distributed machine learning approach in the IoT era, emphasizing the importance of summarizing data for improved communication energy efficiency.
Explores the development of low power wearable sensors for monitoring air quality and biomarkers, highlighting their impact on health and environmental exposure.
Explores the evolution and impact of the Internet of Things, discussing the potential of technology in revolutionizing various sectors and emphasizing the importance of collaboration between developers and medical professionals.
Delves into the development of soft and permeable electronics for various applications, emphasizing the importance of permeability for chronic biocompatibility.
