This article presents a novel dual 7T static random-access memory (SRAM)-based compute-
in-memory (CIM) macro for processing quantized neural networks. The proposed SRAM …

Hand gesture recognition (HGR) has become a prevalent human–computer interaction
(HCI) approach on smart edge devices. The existing HGR systems suffer from either …

Dynamic vision sensors (DVS) have become prevalent in edge vision applications due to
their low power and short latency attributes. However, current DVS-based object tracking …

As a novel biomedical imaging setup, acoustic resolution photoacoustic microscopy (AR-
PAM) employs photoacoustic effect for visualizing vasculature and bio-structure …

Neuromorphic vision sensors (NVSs) mimic the function of the human visual system, with
significant energy-saving potential in IoT-based object detection systems. Unlike …

Resistive random-access memory (RRAM) is a promising emerging non-volatile memory
because it offers high density, low power, low cost, and large R-ratios (RHRS/RLRS) …

Machine learning applications have gained substantial recognition in recent years due to
their significant impact on a myriad of sectors such as healthcare, automation, and artificial …

This demonstration presents an ultra-low-power real-time 3-D hand gesture recognition
system for edge scenarios. The rotation-resistant features are extracted through bi …