Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A full-stack view of probabilistic computing with p-bits: Devices, architectures, and algorithms
The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
Spintronics intelligent devices
Intelligent computing paradigms have become increasingly important for the efficient
processing of massive amounts of data. However, using traditional electronic devices to …
processing of massive amounts of data. However, using traditional electronic devices to …
CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning
Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS)
transistors with emerging nanotechnologies (X) has become increasingly important. One …
transistors with emerging nanotechnologies (X) has become increasingly important. One …
Restricted Boltzmann Machines Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Artificial intelligence has surged forward with the advent of generative models, which rely
heavily on stochastic computing architectures enhanced by true random number generators …
heavily on stochastic computing architectures enhanced by true random number generators …
Experimental demonstration of an on-chip p-bit core based on stochastic magnetic tunnel junctions and 2D MoS2 transistors
Probabilistic computing is a computing scheme that offers a more efficient approach than
conventional complementary metal-oxide–semiconductor (CMOS)-based logic in a variety of …
conventional complementary metal-oxide–semiconductor (CMOS)-based logic in a variety of …
Quantitative evaluation of hardware binary stochastic neurons
Recently, there has been increasing activity to build dedicated Ising machines to accelerate
the solution of combinatorial optimization problems by expressing these problems as a …
the solution of combinatorial optimization problems by expressing these problems as a …
Computational capability for physical reservoir computing using a spin-torque oscillator with two free layers
A numerical analysis on the computational capability of physical reservoir computing
utilizing a spin-torque oscillator with two free layers is reported. Conventional spintronics …
utilizing a spin-torque oscillator with two free layers is reported. Conventional spintronics …
Sigmoidal curves of stochastic magnetic tunnel junctions with perpendicular easy axis
We investigate the physical mechanism governing the sigmoid-like time-averaged response
of stochastic magnetic tunnel junctions (s-MTJ), which is a promising building block for …
of stochastic magnetic tunnel junctions (s-MTJ), which is a promising building block for …
Double-free-layer stochastic magnetic tunnel junctions with synthetic antiferromagnets
Stochastic magnetic tunnel junctions (SMTJs) using low-barrier nanomagnets have shown
promise as fast, energy-efficient, and scalable building blocks for probabilistic computing …
promise as fast, energy-efficient, and scalable building blocks for probabilistic computing …
Connecting physics to systems with modular spin-circuits
An emerging paradigm in modern electronics is that of CMOS+ X requiring the integration of
standard CMOS technology with novel materials and technologies denoted by X. In this …
standard CMOS technology with novel materials and technologies denoted by X. In this …