203 citations · 1.3k across the 57 of their papers we have counts for
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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…
Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors
A N M Nafiul Islam, Arnob Saha, Zhouhang Jiang +2
Achieving brain-like density and performance in neuromorphic computers necessitates scaling down the size of nanodevices emulating neuro-synaptic functionalities. However, scaling…
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…
Sequence Learning Using Equilibrium Propagation
Malyaban Bal, Abhronil Sengupta
Equilibrium Propagation (EP) is a powerful and more bio-plausible alternative to conventional learning frameworks such as backpropagation. The effectiveness of EP stems from the fa…
Astromorphic Self-Repair of Neuromorphic Hardware Systems
Zhuangyu Han, A N M Nafiul Islam, Abhronil Sengupta
While neuromorphic computing architectures based on Spiking Neural Networks (SNNs) are increasingly gaining interest as a pathway toward bio-plausible machine learning, attention i…