相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Fully hardware-implemented memristor convolutional neural network
Peng Yao et al.
NATURE (2020)
Analog content-addressable memories with memristors
Can Li et al.
NATURE COMMUNICATIONS (2020)
In-Memory Computing with Memristor Content Addressable Memories for Pattern Matching
Catherine E. Graves et al.
ADVANCED MATERIALS (2020)
Mastering Atari, Go, chess and shogi by planning with a learned model
Julian Schrittwieser et al.
NATURE (2020)
GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures
Nagadastagiri Challapalle et al.
2020 ACM/IEEE 47TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA 2020) (2020)
Device and Circuit Architectures for In-Memory Computing
Daniele Ielmini et al.
ADVANCED INTELLIGENT SYSTEMS (2020)
From local explanations to global understanding with explainable AI for trees
Scott M. Lundberg et al.
NATURE MACHINE INTELLIGENCE (2020)
An interpretable mortality prediction model for COVID-19 patients
Li Yan et al.
NATURE MACHINE INTELLIGENCE (2020)
Solving matrix equations in one step with cross-point resistive arrays
Zhong Sun et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Low-Conductance and Multilevel CMOS-Integrated Nanoscale Oxide Memristors
Xia Sheng et al.
ADVANCED ELECTRONIC MATERIALS (2019)
Ferroelectric ternary content-addressable memory for one-shot learning
Kai Ni et al.
NATURE ELECTRONICS (2019)
A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator
Mingu Kang et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2018)
Equivalent-accuracy accelerated neural-network training using analogue memory
Stefano Ambrogio et al.
NATURE (2018)
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
Can Li et al.
NATURE COMMUNICATIONS (2018)
Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
Scott M. Lundberg et al.
NATURE BIOMEDICAL ENGINEERING (2018)
A general memristor-based partial differential equation solver
Mohammed A. Zidan et al.
NATURE ELECTRONICS (2018)
In-memory computing with resistive switching devices
Daniele Ielmini et al.
NATURE ELECTRONICS (2018)
Mixed-precision in-memory computing
Manuel Le Gallo et al.
NATURE ELECTRONICS (2018)
The future of electronics based on memristive systems
Mohammed A. Zidan et al.
NATURE ELECTRONICS (2018)
Analogue signal and image processing with large memristor crossbars
Can Li et al.
NATURE ELECTRONICS (2018)
Sparse coding with memristor networks
Patrick M. Sheridan et al.
NATURE NANOTECHNOLOGY (2017)
Resistive switching memories based on metal oxides: mechanisms, reliability and scaling
Daniele Ielmini
SEMICONDUCTOR SCIENCE AND TECHNOLOGY (2016)
A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition
Kyuho Jason Lee et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2015)
Emerging Trends in Design and Applications of Memory-Based Computing and Content-Addressable Memories
Robert Karam et al.
PROCEEDINGS OF THE IEEE (2015)
Runtime Optimizations for Tree-based Machine Learning Models
Nima Asadi et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)
Visual Vocabulary Processor Based on Binary Tree Architecture for Real-Time Object Recognition in Full-HD Resolution
Tse-Wei Chen et al.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2012)
The missing memristor found
Dmitri B. Strukov et al.
NATURE (2008)
Content-addressable memory (CAM) circuits and architectures: A tutorial and survey
K Pagiamtzis et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2006)