Results 11 to 20 of about 131,401 (219)

Architecture of Computing System based on Chiplet

Micromachines, 2022
Computing systems are widely used in medical diagnosis, climate prediction, autonomous vehicles, etc. As the key part of electronics, the performance of computing systems is crucial in the intellectualization of the equipment.
Guangbao Shan, Yanwen Zheng, Chaoyang Xing, Dongdong Chen, Guoliang Li, Yintang Yang   +5 more
doaj   +1 more source

An Efficient and Robust Partial Differential Equation Solver by Flash-Based Computing in Memory

Micromachines, 2023
Flash memory-based computing-in-memory (CIM) architectures have gained popularity due to their remarkable performance in various computation tasks of data processing, including machine learning, neuron networks, and scientific calculations. Especially in
Yueran Qi, Yang Feng, Jixuan Wu, Zhaohui Sun, Maoying Bai, Chengcheng Wang, Hai Wang, Xuepeng Zhan, Junyu Zhang, Jing Liu, Jiezhi Chen   +10 more
doaj   +1 more source

Device‐Algorithm Co‐Optimization for an On‐Chip Trainable Capacitor‐Based Synaptic Device with IGZO TFT and Retention‐Centric Tiki‐Taka Algorithm

Advanced Science, 2023
Analog in‐memory computing synaptic devices are widely studied for efficient implementation of deep learning. However, synaptic devices based on resistive memory have difficulties implementing on‐chip training due to the lack of means to control the ...
Jongun Won, Jaehyeon Kang, Sangjun Hong, Narae Han, Minseung Kang, Yeaji Park, Youngchae Roh, Hyeong Jun Seo, Changhoon Joe, Ung Cho, Minil Kang, Minseong Um, Kwang‐Hee Lee, Jee‐Eun Yang, Moonil Jung, Hyung‐Min Lee, Saeroonter Oh, Sangwook Kim, Sangbum Kim   +18 more
doaj   +1 more source

In‐Memory Mathematical Operations with Spin‐Orbit Torque Devices

Advanced Science, 2022
Analog arithmetic operations are the most fundamental mathematical operations used in image and signal processing as well as artificial intelligence (AI).  In‐memory computing (IMC) offers a high performance and energy‐efficient computing paradigm.
Ruofan Li, Min Song, Zhe Guo, Shihao Li, Wei Duan, Shuai Zhang, Yufeng Tian, Zhenjiang Chen, Yi Bao, Jinsong Cui, Yan Xu, Yaoyuan Wang, Wei Tong, Zhe Yuan, Yan Cui, Li Xi, Dan Feng, Xiaofei Yang, Xuecheng Zou, Jeongmin Hong, Long You   +20 more
doaj   +1 more source

Review of the Intelligent Sensor‐Memory‐Control Fusion Systems

Advanced Sensor Research, 2023
The ability to sense light, heat, and touch is vital for human beings, underpinning the interaction between humans and the environment. To mimic the biological perception system, the sensory system converts external light, heat, and mechanical inputs ...
Yixuan Chen, Xinyue Wu, Junhao Shen, Zepeng Huang, Zhongrui Wang, Liangjian Lyu, Hengchang Bi, Xing Wu, Guozhen Shen   +8 more
doaj   +1 more source

Multifunctional computing-in-memory SRAM cells based on two-surface-channel MoS2 transistors

iScience, 2021
Summary: Driven by technologies such as machine learning, artificial intelligence, and internet of things, the energy efficiency and throughput limitations of the von Neumann architecture are becoming more and more serious.
Fan Wang, Jiayi Li, Zhenhan Zhang, Yi Ding, Yan Xiong, Xiang Hou, Huawei Chen, Peng Zhou   +7 more
doaj   +1 more source

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

Applied Sciences, 2022
AI is fueling explosive growth in compute demand that traditional digital chip architectures cannot keep up with. Analog crossbar arrays enable power efficient synaptic signal processing with linear scaling on neural network size.
Elger A. Vlieg, Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein   +4 more
doaj   +1 more source

Accelerated Data‐Driven Discovery of Dual‐Functional Ionic Liquid Passivation for FAPbI3 Perovskite Solar Cells Using Graph Neural Network

EcoMat
Achieving efficient and stable formamidinium lead iodide (FAPbI3) perovskite solar cells (PSCs) requires integrated control of crystallization kinetics and defect suppression.
Jiazheng Wang, Qiang Lou, Qingqing Zhang, Haibiao Chen, Zhengjie Xu, Hongye Liu, Hao Zhang, Xinxin Xu, Guibo Luo, Yen‐Hung Lin, Gehan Amaratunga, Hang Zhou   +11 more
doaj   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte, Hannah Koch, Olivia A. Coughlin, Jillian R. Bouck, Allie Carter, Seethal A. Jacob   +5 more
wiley   +1 more source

Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing

Nature Communications
Neuromorphic systems offer energy-efficient solutions for temporal signal processing by emulating the dynamics and heterogeneity of biological neural circuits. However, conventional approaches face challenges in adaptive regulation and in capturing multi-
Licheng Zhang, Teng Zhang, Pek Jun Tiw, Xulei Wu, Yuqi Su, Yuchao Yang   +5 more
doaj   +1 more source