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A building block for hardware belief networks

https://doi.org/10.1038/srep29893
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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What Constitutes a Nanoswitch? A Perspective
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Artificial neural networks in hardware: A survey of two decades of progress
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Spin Glasses
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A generalization of the demagnetizing tensor for nonuniform magnetization
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Electric-field-assisted switching in magnetic tunnel junctions
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Current-induced torques in magnetic materials
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Magnetization switching by spin-orbit torque in an antiferromagnet/ferromagnet bilayer system
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Proposal for an all-spin logic device with built-in memory
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Intrinsic optimization using stochastic nanomagnets
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Spin-transfer pulse switching: From the dynamic to the thermally activated regime
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Switching energy-delay of all spin logic devices
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Non-volatile spin switch for Boolean and non-Boolean logic
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Spin switches for compact implementation of neuron and synapse
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Theory of Random Magnets
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Switching of perpendicularly polarized nanomagnets with spin orbit torque without an external magnetic field by engineering a tilted anisotropy
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An Introduction to the Ising Model
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Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition
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Noise-Enhanced Synchronization of Stochastic Magnetic Oscillators
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Finite-size effects at temperature-driven first-order transitions
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Spin-current interaction with a monodomain magnetic body: A model study
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Giant Spin Hall Effect Induced by Skew Scattering from Bismuth Impurities inside Thin Film CuBi Alloys
inferredcites →https://doi.org/10.1109/essderc.2012.6343328openalex-snapshot
Modeling circuits with spins and magnets for all-spin logic
inferredcites →https://doi.org/10.1109/iedm.2014.7047039openalex-snapshot
A Magnetic Tunnel Junction based True Random Number Generator with conditional perturb and real-time output probability tracking
inferredcites →https://doi.org/10.1109/iscas.2005.1465136openalex-snapshot
Probabilistic Computing with Future Deep Sub-Micrometer Devices: A Modelling Approach
inferredcites →https://doi.org/10.1109/nanoarch.2015.7180581openalex-snapshot
Physically equivalent magneto-electric nanoarchitecture for probabilistic reasoning
inferredcites →https://doi.org/10.1109/tbcas.2015.2414423openalex-snapshot
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems
inferredcites →https://doi.org/10.1109/tmag.2004.830395openalex-snapshot
Thermally Assisted Switching in Exchange-Biased Storage Layer Magnetic Tunnel Junctions
inferredcites →https://doi.org/10.1109/tnano.2009.2016657openalex-snapshot
Switching Energy of Ferromagnetic Logic Bits
inferredcites →https://doi.org/10.1109/tnano.2015.2439618openalex-snapshot
Self-Similar Magneto-Electric Nanocircuit Technology for Probabilistic Inference Engines
inferredcites →https://doi.org/10.1109/tnn.2006.873278openalex-snapshot
Continuous-valued probabilistic behavior in a VLSI generative model
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1126/science.1120506openalex-snapshot
Majority Logic Gate for Magnetic Quantum-Dot Cellular Automata
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1126/science.1218197openalex-snapshot
Spin-Torque Switching with the Giant Spin Hall Effect of Tantalum
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1145/1553374.1553453openalex-snapshot
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
inferredcites →https://doi.org/10.1162/089976602760128018openalex-snapshot
Training Products of Experts by Minimizing Contrastive Divergence
inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot
A Fast Learning Algorithm for Deep Belief Nets
inferredcites →https://doi.org/10.1557/mrs.2014.166openalex-snapshot
Computing with spins and magnets
inferredcites →https://doi.org/10.1561/2200000006openalex-snapshot
Learning Deep Architectures for AI
inferredcites →https://doi.org/10.48550/arxiv.1402.4914openalex-snapshot
Building fast Bayesian computing machines out of intentionally stochastic, digital parts
inferredcites →https://doi.org/10.7551/mitpress/3349.003.0005openalex-snapshot
Learning and Relearning in Boltzmann Machines
inferredcites →https://doi.org/10.7873/date.2015.0460openalex-snapshot
SPINTASTIC: Spin-Based Stochastic Logic for Energy-Efficient Computing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Polymeric Memristors as Entropy Sources for Probabilistic Bit Generation
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Unconventional computing based on magnetic tunnel junction
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From materials to systems: a multiscale analysis of nanomagnetic switching
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Public support for counterterrorism efforts using probabilistic computing technologies to decipher terrorist communication on the internet
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Fundamental physics and applications of skyrmions: A review
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Hardware emulation of stochastic p-bits for invertible logic
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Spin-torque devices with hard axis initialization as Stochastic Binary Neurons
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Demonstration of a pseudo-magnetization based simultaneous write and read operation in a Co60Fe20B20/Pb(Mg1/3Nb2/3)0.7Ti0.3O3 heterostructure
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Electrically programmable probabilistic bit anti-correlator on a nanomagnetic platform
inferred← citeshttps://doi.org/10.1038/s41598-020-72842-6openalex-snapshot
Hardware implementation of Bayesian network building blocks with stochastic spintronic devices
inferred← citeshttps://doi.org/10.1038/s41928-019-0360-9openalex-snapshot
Neuromorphic spintronics
inferred← citeshttps://doi.org/10.1038/s42254-022-00440-8openalex-snapshot
Ising machines as hardware solvers of combinatorial optimization problems
inferred← citeshttps://doi.org/10.1038/srep44370openalex-snapshot
Intrinsic optimization using stochastic nanomagnets
inferred← citeshttps://doi.org/10.1063/1.4983636openalex-snapshot
Ising computation based combinatorial optimization using spin-Hall effect (SHE) induced stochastic magnetization reversal
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Perspective: Stochastic magnetic devices for cognitive computing
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Implementing Bayesian networks with embedded stochastic MRAM
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Magnetization reversal in bent nanofibers of different cross sections
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p-bits for probabilistic spin logic
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Probabilistic computing with p-bits
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Effect of stochastic activation function on reconstruction performance of restricted Boltzmann machines with stochastic magnetic tunnel junctions
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Training-free and stochastic magnetic tunnel junction-based restricted Boltzmann machine for Boolean satisfiability problem
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Roadmap for unconventional computing with nanotechnology
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Tunable spintronic devices with different switching mechanisms for probabilistic and stochastic computing
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Reliability of Magnetoelastic Switching of Nonideal Nanomagnets with Defects: A Case Study for the Viability of Straintronic Logic and Memory
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Scalable Emulation of Sign-Problem–Free Hamiltonians with Room-Temperature p -bits
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Equivalent Circuit for Magnetoelectric Read and Write Operations
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Long-Distance Ultrafast Spin Transfer over a Zigzag Carbon Chain Structure
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Stochastic p -Bits for Invertible Logic
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Autonomous Probabilistic Coprocessing With Petaflips per Second
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Analog Signal Processing Using Stochastic Magnets
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Probabilistic Computing with Binary Stochastic Neurons
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p-Transistors, p-bits and p-circuits for an invertible logic
inferred← citeshttps://doi.org/10.1109/icrc.2018.8638604openalex-snapshot
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks
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Experimental demonstration of nanomagnet networks as hardware for Ising computing
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Beyond CMOS
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Application of Probabilistic Spin Logic (PSL) in Detecting Satisfiability of a Boolean Function
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12.2 p-Circuits: Neither Digital Nor Analog
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From Charge to Spin and Spin to Charge: Stochastic Magnets for Probabilistic Switching
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Evaluating Spintronic Devices Using the Modular Approach
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Error-Resilient Spintronics via the Shannon- Inspired Model of Computation
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High-Accuracy Deep Belief Network: Fuzzy Neural Networks Using MRAM-Based Stochastic Neurons
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A Full-Stack View of Probabilistic Computing With p-Bits: Devices, Architectures, and Algorithms
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Implementing p-bits With Embedded MTJ
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Low-Barrier Nanomagnets as p-Bits for Spin Logic
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Design of Stochastic Nanomagnets for Probabilistic Spin Logic
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Adaptive 3D Deep Learning for Multi-carrier Coherent Optical Communications
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Voltage-Driven Building Block for Hardware Belief Networks
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Magnetization Dynamics in Nanofiber Networks
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Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems
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Modular Compact Modeling of MTJ Devices
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Process Variation Sensitivity of Spin-Orbit Torque Perpendicular Nanomagnets in DBNs
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Weighted $p$ -Bits for FPGA Implementation of Probabilistic Circuits
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p-transistors and p-circuits for Boolean and non-Boolean logic
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Precession of Magnetization of a Spin-Valve Free Layer and Its Switching under the Effect of a Magnetic Field Perpendicular to the Anisotropy Axis
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Spin Valves in Microelectronics (A Review)
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Frequency and Speed of Action of a Spin Valve with Planar Layer Anisotropy
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A Pathway to Enable Exponential Scaling for the Beyond-CMOS Era
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When Those With Privacy Concerns Show Stronger In-Group Favoritism: Using Personal Information From In-Group and Out-Group Members to Identify Terrorist Threats
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The Latest Progress of Deep Learning
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Hardware Design for Autonomous Bayesian Networks
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