Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
出版年份 2022 全文链接
标题
Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
作者
关键词
-
出版物
Nature Communications
Volume 13, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-10-17
DOI
10.1038/s41467-022-33699-7
参考文献
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。- Capacitor-Based Synaptic Devices for Hardware Spiking Neural Networks
- (2022) Sungmin Hwang et al. IEEE ELECTRON DEVICE LETTERS
- Heterogeneous Integration of Atomically Thin Semiconductors for Non‐von Neumann CMOS
- (2022) Rahul Pendurthi et al. Small
- All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors
- (2022) Akhil Dodda et al. Nature Communications
- Hardware implementation of Bayesian network based on two-dimensional memtransistors
- (2022) Yikai Zheng et al. Nature Communications
- In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling
- (2021) Thomas Dalgaty et al. Nature Electronics
- Benchmarking monolayer MoS2 and WS2 field-effect transistors
- (2021) Amritanand Sebastian et al. Nature Communications
- A biomimetic neural encoder for spiking neural network
- (2021) Shiva Subbulakshmi Radhakrishnan et al. Nature Communications
- Controllable p‐Type Doping of 2D WSe 2 via Vanadium Substitution
- (2021) Azimkhan Kozhakhmetov et al. ADVANCED FUNCTIONAL MATERIALS
- Cointegration of single-transistor neurons and synapses by nanoscale CMOS fabrication for highly scalable neuromorphic hardware
- (2021) Joon-Kyu Han et al. Science Advances
- A Machine Learning Attack Resilient True Random Number Generator Based on Stochastic Programming of Atomically Thin Transistors
- (2021) Akshay Wali et al. ACS Nano
- An Annealing Accelerator for Ising Spin Systems Based on In‐Memory Complementary 2D FETs
- (2021) Amritanand Sebastian et al. ADVANCED MATERIALS
- Neuromorphic computing: Devices, hardware, and system application facilitated by two-dimensional materials
- (2021) Jihong Bian et al. Applied Physics Reviews
- The development of integrated circuits based on two-dimensional materials
- (2021) Kaichen Zhu et al. Nature Electronics
- Transistors based on two-dimensional materials for future integrated circuits
- (2021) Saptarshi Das et al. Nature Electronics
- All-Spin Bayesian Neural Networks
- (2020) Kezhou Yang et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- Ultrafast machine vision with 2D material neural network image sensors
- (2020) Lukas Mennel et al. NATURE
- Stochastic resonance in MoS2 photodetector
- (2020) Akhil Dodda et al. Nature Communications
- Analog architectures for neural network acceleration based on non-volatile memory
- (2020) T. Patrick Xiao et al. Applied Physics Reviews
- A low-power biomimetic collision detector based on an in-memory molybdenum disulfide photodetector
- (2020) Darsith Jayachandran et al. Nature Electronics
- Two Dimensional Near Atom Thickness Materials for Emerging Neuromorphic Devices and Applications
- (2020) Tae-Jun Ko et al. iScience
- A biomimetic 2D transistor for audiomorphic computing
- (2019) Sarbashis Das et al. Nature Communications
- Gaussian synapses for probabilistic neural networks
- (2019) Amritanand Sebastian et al. Nature Communications
- Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation
- (2019) Yongchan Kwon et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Fast and Efficient Convolutional Accelerator for Edge Computing
- (2019) Arash Ardakani et al. IEEE TRANSACTIONS ON COMPUTERS
- Application of Bayesian Regularization Artificial Neural Network in explosion risk analysis of fixed offshore platform
- (2018) Jihao Shi et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- A Comparison of Regularization Techniques in Deep Neural Networks
- (2018) Ismoilov Nusrat et al. Symmetry-Basel
- Predicting Diabetes Mellitus With Machine Learning Techniques
- (2018) Quan Zou et al. Frontiers in Genetics
- A Bayesian regularized artificial neural network for stock market forecasting
- (2013) Jonathan L. Ticknor EXPERT SYSTEMS WITH APPLICATIONS
- Using artificial neural network models in stock market index prediction
- (2011) Erkam Guresen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Analytical Model for the Electron-Injection Statistics During Programming of Nanoscale nand Flash Memories
- (2008) Christian Monzio Compagnoni et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now