8 papers · 1 filter
STAR: Astrocyte-Inspired State-Augmented Repair for Supervised Memristive AI Hardware Systems
Yusuf Ahmed Khan, Zhuangyu Han, Abhronil Sengupta
Memristive crossbar arrays have emerged as a promising platform for efficient on-chip learning, enabling local learning rules such as Equilibrium Propagation (EP) to be realized wi…
Bayesian Optimization of Crossbar-Based Compute-In-Memory System Design for Efficient DNN Inference
Arnob Saha, Bibhas Manna, Nikhil Kotikalapudi +4
Leveraging the high density and energy efficiency of Compute-In-Memory (CIM) crossbar-based Deep Neural Network (DNN) accelerators requires optimal Design Space Exploration (DSE),…
StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
Jiaqi Lin, Yi Jiang, Abhronil Sengupta
Spiking Neural Networks (SNNs) promise energy-efficient, sparse, biologically inspired computation. Training them with Backpropagation Through Time (BPTT) and surrogate gradients a…
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors
A N M Nafiul Islam, Xuezhong Niu, Jiahui Duan +3
Although inspired by neuronal systems in the brain, artificial neural networks generally employ point-neurons, which offer far less computational complexity than their biological c…
A Bio-inspired Asymmetric Double-Gate Ferroelectric FET for Emulating Astrocyte and Dendrite Dynamics in Neuromorphic Systems
Zhouhang Jiang, A N M Nafiul Islam, Zhuangyu Han +13
Neuromorphic systems seek to replicate the functionalities of biological neural networks to attain significant improvements in performance and efficiency of AI computing platforms.…
An In-Situ Spatial-Temporal Sequence Detector for Neuromorphic Vision Sensor Empowered by High Density Vertical NAND Storage
Zijian Zhao, Varun Darshana Parekh, Po-Kai Hsu +17
Neuromorphic vision sensors require efficient real-time pattern recognition, yet conventional architectures struggle with energy and latency constraints. Here, we present a novel i…