Veriloga教程-Compact Model Development using Verilog-A
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Veriloga教程-Hands-on Verilog-A and SPICE I
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Veriloga教程-Hands on Verilog-A and SPICE II
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EDA教程 - 1T1R model for Bit cell design using RRAM
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从器件到系统的忆阻器存内计算-Neuromorphic Computing with Memristors from Device to System
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Hybrid Ferroelectrics-CMOS Devices and Circuits
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Lecture - 2.1 Segregation of Memory Devices
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Ferroelectric Devices for Compute-in-Memory Array-Level Operations
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铁电存储器--一种新的数据存储范式-Ferroelectric domain wall memory – a new data storage paradigm
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Memristive Materials and Devices for Neuromorphic Computing
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使用深度学习经验训练尖峰神经-Training Spiking Neural Networks Using Lessons From Deep Learning
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存内计算的新器件Novel Device and Materials in Emerging Memory for Neuromorphic Computing
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IITB-Face Verification using Few-shot Deep Learning
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存内计算：神经网络的硬件实现-Neuromorphic Computing:Mapping Neural Networks to Hardware
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尖锋神经网络-Spiking Neural Networks
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神经网络与加速器的共同设计 Neural Networks and Accelerator Co-Design
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基于SRAM内存计算的人工智能系统-SRAM based In-Memory Computing for Energy-Efficient AI Systems
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基于忆阻器的逻辑电路设计- Memristor-based Logic Circuit Design
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神经网络加速器设计 - Neural Network Accelerator Design
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复旦大学芯片与系统前沿技术论坛-基于忆阻器的类脑计算-清华大学 集成电路学院 唐建石
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Lecture 4 - Memory Array Architecture
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Lecture 13 - Reliability of Flash memory
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Lecture 12 - NAND and NOR Flash memory
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Lecture 11 - Introduction to Flash Memory
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Lecture 9 - Introduction to DRAMs
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FPGA中的深度神经网络- DNNs on FPGAs
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复旦大学芯片与系统前沿技术论坛-面向新型信息器件的二维电子材料研究与物态调控-北京理工大学 孙林峰
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基于SRAM内存计算的AI推理-SRAM based In-Memory Computing for Energy-Efficient AI Inference
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复旦大学芯片与系统前沿技术论坛-忆阻器与感存算一体应用-深圳大学 韩素婷
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TCAD教程 - 2D MOSFET Demonstration
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复旦大学芯片与系统前沿技术论坛-二维层状金属硫化物的无损逐层刻蚀-南京大学 黎松林
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用于嵌入式RAM应用的IGZO-FET和铁电存储器的片上三维集成
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二维场效应晶体管：物理性质与建模-2D Material FETs: Physics and Modeling
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存内计算简介- Introduction to Neuromorphic Computing
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Lecture - 1 Memory organization
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Lecture - 2.2 Memory arrays and characteristics
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异构三维集成 - Heterogeneous 3D Integration
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复旦大学芯片与系统前沿技术论坛-二维晶体管的范德华金属接触-湖南大学 刘渊
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Materials Discovery for Next-Generation Electrical and Optical Interconnects
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IEEE IMW 2021 Tutorial on FeFET
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高能效计算电路和架构 - Circuits and Architectures for Highly Energy Efficient Computing