3 citations · 4 across the 8 of their papers we have counts for
8 papers
Trilinear Compute-in-Memory Architecture for Energy-Efficient Transformer Acceleration
Md Zesun Ahmed Mia, Jiahui Duan, Kai Ni +1
Self-attention in Transformers generates dynamic operands that force conventional Compute-in-Memory (CIM) accelerators into costly non-volatile memory (NVM) reprogramming cycles, d…
Probabilistic Tree Inference Enabled by FDSOI Ferroelectric FETs
Pengyu Ren, Xingtian Wang, Boyang Cheng +9
Artificial intelligence applications in autonomous driving, medical diagnostics, and financial systems increasingly demand machine learning models that can provide robust uncertain…
In-Situ Encryption of Single-Transistor Nonvolatile Memories without Density Loss
Sanwar Ahmed Ovy, Jiahui Duan, Md Ashraful Islam Romel +4
Non-volatile memories (NVMs) offer negligible leakage power consumption, high integration density, and data retention, but their non-volatility also raises the risk of data exposur…
Single-Cell Universal Logic-in-Memory Using 2T-nC FeRAM: An Area and Energy-Efficient Approach for Bulk Bitwise Computation
Rudra Biswas, Jiahui Duan, Shan Deng +7
This work presents a novel approach to configure 2T-nC ferroelectric RAM (FeRAM) for performing single cell logic-in-memory operations, highlighting its advantages in energy-effici…
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.…
A Full Spectrum of 3D Ferroelectric Memory Architectures Shaped by Polarization Sensing
Jiahui Duan, Asif Khan, Xiao Gong +2
Ferroelectric memories have attracted significant interest due to their non-volatile storage, energy efficiency, and fast operation, making them prime candidates for future memory…
A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI
Xunzhao Yin, Hamza Errahmouni Barkam, Franz Müller +14
Neuro-symbolic artificial intelligence (AI) excels at learning from noisy and generalized patterns, conducting logical inferences, and providing interpretable reasoning. Comprising…