REVIEWbeing converged with artificial intelligence (AI) by providing users' biological and behavioral signals collected in wearable biodevices, [21][22][23][24][25][26][27][28][29][30][31] offering intelligent services based on big data cloud computing and machine learning. [32][33][34][35][36][37][38][39][40] A number of research groups have demonstrated flexible memories, thin film transistors (TFTs), and integrated circuits (ICs) as key technology for data processing, information storage, and communication. [41][42][43][44][45][46][47][48][49] Since Kim et al. [50] reported functional flexible resistive random access memory (RRAM), various chalcogenidebased phase change memories (PCMs) [51][52][53][54] as well as RRAMs using inorganic (e.g., WO 3 , Al 2 O 3 , HfO 2 , TiO 2 ), [45,49,50,[55][56][57] carbon (graphene, carbon nanotubes (CNTs)), [58][59][60][61][62][63][64] and organic materials [65][66][67][68] have been fabricated on polymer films. In addition, an ultrathin TFT and Si-based large-scale integration (LSI) were demonstrated for high-density flexible electronics. [8,69,70] Beyond the front-end device level, flexible packaging has been developed to interconnect core and peripheral modules to realize fully operational system-on-plastic (SoP). [71][72][73][74][75] Neuromorphic computing systems (brain-inspired model of parallel neuron network) are considered as a promising technology for AI applications, overcoming the limitation of von Neumann architecture (serial and iterative processing) for intelligent data analysis and low power consumption. [76][77][78][79][80][81] With the rapid advancement in the electronics (e.g., memristor, PCM, and TFT) on plastics or any type of surface, [82][83][84][85][86][87][88][89][90] emulation of biological synapses (adaptive synaptic weight, [91][92][93][94] and spike-timing-dependent plasticity (STDP) [95][96][97][98][99] of neurons) is being demonstrated on flexible substrate, which realizes an era of merged electronics toward cognitive IoT, physiological sensor, wearable computer, and autonomous driving system. [92,100] Here, we present recent progress in the field of electronics for flexible and neuromorphic applications that can be classified into four main categories: i) various devices (e.g., resistive memory, PCM, TFT, and IC) on plastic for computing, ii) flexible electronic systems using large-scale interconnection and packaging, iii) electronics for neuromorphic engineering, and iv) promising research areas of flexible synaptic applications. In addition, we have organized the main features of the studies in each section as a table to clearly compare their performance and challenges. The new electronic concept of a flexible and Emerging classes of flexible electronic systems that can be attached to a wide range of surfaces from wearable clothes to internal organs have driven significant advances in communication protocols (e.g., Internet of Things, augmented reality) and clinical research, shifting today's personal computing paradigm. The field of "system ...