41 citations · 123 across the 9 of their papers we have counts for
7 papers · 1 filter
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…
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…