The rapid growth in miniaturization of low-power embedded devices and advancement in
the optimization of machine learning (ML) algorithms have opened up a new prospect of the …

Machine Learning (TinyML) is an upsurging research field that proposes to democratize the
use of Machine Learning and Deep Learning on highly energy-efficient frugal …

Abstract Lithium-sulfur (Li–S) system coupled with thin-film solid electrolyte as a novel high-
energy micro-battery has enormous potential for complementing embedded energy …

The society as a whole, and many vertical sectors in particular, is becoming increasingly
digitalized. Machine Type Communication (MTC), encompassing its massive and critical …

Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …

Recent advances on wireless energy transfer (WET) make it a promising solution for
powering future Internet-of-Things (IoT) devices enabled by the upcoming sixth-generation …

The recently introduced 5G New Radio is the first wireless standard natively designed to
support critical and massive machine type communications (MTC). However, it is already …

Advances in microelectronics have enabled the use of miniaturized computers for
autonomous intelligence at the size of a dust particle less than one square millimeter across …

Internet of things (IoT), mobile edge computing (MEC), and unmanned aerial vehicle (UAV)
have attracted significant attention in both industry and academic research. By consolidating …

Extreme edge devices or Internet-of-Things (IoT) nodes require both ultra-low power (ULP)
always-on (AON) processing as well as the ability to do on-demand sampling and …