京东 11.11 红包
Intel类脑计算实验室-神经形态计算：从理论到应用 Neuromorphic Computing：From Theory to Applications
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基于忆阻器动力学的类脑计算-杨玉超
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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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香港大学-基于忆阻器的生物启发式计算-Bio-inspired Computing with Memristors
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Memristive Materials and Devices for Neuromorphic Computing
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尖锋神经网络-Spiking Neural Networks
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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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铁电鳍式晶体管的神经形态计算
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类脑计算背景介绍 The Basics of Neuromorphic Computing
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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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Stanford Seminar - 物理系统计算 Computing with Physical Systems
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简明量子类脑计算 A Brief Story of Quantum Neuromorphic Computing
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HBPS2021- 神经形态计算和工程 Neuromorphic Computing and Engineering
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神经形态尖峰传感器的边缘AI计算-Edge AI with Neuromorphic Spiking Sensors
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Neuromorphic Computing from the C.S. Perspective Algorithms and Applications
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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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复旦大学芯片与系统前沿技术论坛-类脑智能感知及计算的产业化发展及应用 乔宁 时识科技
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近似ICIWS-Near in sensor computing for neuromorphic machine vision-香港理工大学-柴扬
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Neuromorphic computing with emerging memory devices
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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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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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后CMOS时代：存内计算与自适应传感-Beyond CMOS：Neuromorphic Computing and Adaptive Sensing
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使用振荡神经网络的存内计算 Neuromorphic Computing with Oscillatory Neural Networks
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高能效计算电路和架构 - Circuits and Architectures for Highly Energy Efficient Computing
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未来计算平台的挑战和机遇 - Future Computing Platforms Challenges & Opportunities
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IEDM2020-以存储为中心的计算系统 Memory Centric Computing Systems
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ICPME2021-用于神经形态计算和硬件安全的卤化物钙钛矿忆阻器
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Ferroelectric Devices for Compute-in-Memory Array-Level Operations
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ECE8003 L11 Ferroelectric
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神经网络加速器设计 - Neural Network Accelerator Design
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未来计算的硬件与系统 周鹏
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存内计算简介- Introduction to 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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Lecture 13 - Reliability of Flash memory
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用于存内计算的金属氧化物忆阻器Metal oxide based memristive systems for neuromorphic computation
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复旦大学芯片与系统前沿技术论坛-后摩尔时代铪基铁电材料与器件-上海交通大学 李秀妍
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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Rashba自旋系统的存内计算 - Rashba systems for in-memory spin computing
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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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Beyond CMOS computing：Spintronics, Ferroelectrics, and Magnetoelectrics
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神经网络与加速器的共同设计 Neural Networks and Accelerator Co-Design