The rapid growth of the Internet of Things (IoTs) has resulted in an explosive increase in data, and thus has raised new challenges for data processing units. Edge computing, which settles signal processing and computing tasks at the edge of networks rather than uploading data to the cloud, can reduce the amount of data for transmission and is a promising solution to address the challenges. One of the potential candidates for edge computing is a memristor, an emerging nonvolatile memory device that has the capability of in-memory computing. In this article, from the perspective of edge computing, we review recent progress on memristor-based signal processing methods, especially on the aspects of signal preprocessing and feature extraction. Then, we describe memristor-based signal classification and regression, and end-to-end signal processing. In all these applications, memristors serve as critical accelerators to greatly improve the overall system performance, such as power efficiency and processing speed. Finally, we discuss existing challenges and future outlooks for memristor-based signal processing systems.

Energy storage devices with flexible form factor have become critical components of wearable electronic systems. Inspired by methods of monolithic integration in the microelectronics fabrication process, we propose a planar flexible full-solid-state lithium-ion battery (FSLB) architecture and a layer-by-layer stencil printing assembly method for fabricating batteries on polyethylene terephthalate (PET) substrate. FSLBs use quasi-solid electrolyte based on LiTFSI and ultraviolet (UV)-curable ethoxylated trimethylolpropane triacrylate (ETPTA) polymeric matrix in combination with Li₄Ti₅O₁₂ (LTO)/LiFePO₄ (LFP)-based electrodes. Excellent mechanical flexibility (< 10 mm bending radius) can be achieved. The electrochemical characteristics of electrolyte, including ion conductivity, physical stability during room-temperature and tender assembly processes, are promising. A complete thin film-shape FSLB demonstrated working operation both under planar and bending conditions. The unique architecture and assembly processes open new ways for planar flexible devices to be integrated with flexible energy devices.