41 citations · 123 across the 9 of their papers we have counts for
9 papers
Signed Spiking Neuron Enabled by an Orthogonal-Easy-Axis Magnetic Tunnel Junction
Huannan Zheng, Jingli Liu, Kezhou Yang
Signed spiking neurons carry richer information than standard spiking neurons. This work proposes a compact magnetic tunnel junction (MTJ)-based neuron for signed leaky integrate-a…
Hardware in Loop Learning with Spin Stochastic Neurons
A N M Nafiul Islam, Kezhou Yang, Amit K. Shukla +4
Despite the promise of superior efficiency and scalability, real-world deployment of emerging nanoelectronic platforms for brain-inspired computing have been limited thus far, prim…
Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems
Kezhou Yang, Dhuruva Priyan G M, Abhronil Sengupta
Brain-inspired computing - leveraging neuroscientific principles underpinning the unparalleled efficiency of the brain in solving cognitive tasks - is emerging to be a promising pa…
Leveraging Voltage-Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar Arrays
Kezhou Yang, Abhronil Sengupta
In crossbar array structures, which serves as an "In-Memory" compute engine for Artificial Intelligence hardware, write sneak path problem causes undesired switching of devices tha…
Spin and charge interconversion in Dirac semimetal thin films
Wilson Yanez, Yongxi Ou, Run Xiao +17
We report spin-to-charge and charge-to-spin conversion at room temperature in heterostructure devices that interface an archetypal Dirac semimetal, Cd3As2, with a metallic ferromag…
Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons
Umang Garg, Kezhou Yang, Abhronil Sengupta
Astrocytes play a central role in inducing concerted phase synchronized neural-wave patterns inside the brain. In this article, we demonstrate that injected radio-frequency signal…
Stochastic Magnetoelectric Neuron for Temporal Information Encoding
Kezhou Yang, Abhronil Sengupta
Emulating various facets of computing principles of the brain can potentially lead to the development of neuro-computers that are able to exhibit brain-like cognitive capabilities.…
Exploiting Oxide Based Resistive RAM Variability for Bayesian Neural Network Hardware Design
Akul Malhotra, Sen Lu, Kezhou Yang +1
Uncertainty plays a key role in real-time machine learning. As a significant shift from standard deep networks, which does not consider any uncertainty formulation during its train…
All-Spin Bayesian Neural Networks
Kezhou Yang, Akul Malhotra, Sen Lu +1
Probabilistic machine learning enabled by the Bayesian formulation has recently gained significant attention in the domain of automated reasoning and decision-making. While impress…