| 2023 | Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. | Edgar Luhulima, Madeleine Abernot, Federico Corradi, Aida Todri-Sanial |
| 2023 | LAXOR: A Bit-Accurate BNN Accelerator with Latch-XOR Logic for Local Computing. | Dongrui Li, Tomomasa Yamasaki, Aarthy Mani, Anh Tuan Do, Niangjun Chen, Bo Wang |
| 2023 | Multi-Objective Optimization for Floating Point Mix-Precision Tuning. | Zeqing Li, Yongwei Wu, Youhui Zhang |
| 2023 | Learning from Output Transitions: A Chosen Challenge Strategy for ML Attacks on PUFs. | Chia-Chih Lin, Ming-Syan Chen |
| 2023 | Sky-NN: Enabling Efficient Neural Network Data Processing with Skyrmion Racetrack Memory. | Yong-Cheng Liaw, Shuo-Han Chen, Yuan-Hao Chang, Yu-Pei Liang |
| 2023 | Multi-Source Transfer Learning for Design Technology Co-Optimization. | Jakang Lee, Jaeseung Lee, Seonghyeon Park, Seokhyeong Kang |
| 2023 | Joint Optimization of Cache Management and Graph Reordering for GCN Acceleration. | Kyeong-Jun Lee, ByungJun Kim, Han-Gyeol Mun, Seunghyun Moon, Jae-Yoon Sim |
| 2023 | Automatic Generation of Structured Macros Using Standard Cells ‒ Application to CIM. | Christian Lanius, Jie Lou, Johnson Loh, Tobias Gemmeke |
| 2023 | Hardware Trojans in fdSOI. | Christian Lanius, Florian Freye, Shutao Zhang, Tobias Gemmeke |
| 2023 | Enabling Highly-Efficient DNA Sequence Mapping via ReRAM-based TCAM. | Yu-Shao Lai, Shuo-Han Chen, Yuan-Hao Chang |
| 2023 | RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models. | Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati |
| 2023 | Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation. | Hyunmin Kim, Sungju Ryu |
| 2023 | A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. | Zexi Ji, Hanrui Wang, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P. Chandrakasan |
| 2023 | DCIM-3DRec: A 3D Reconstruction Accelerator with Digital Computing-in-Memory and Octree-Based Scheduler. | Yiqi Jing, Yiyang Sun, Xiao Wang, Wentao Zhao, Meng Wu, Fengyun Yan, Yufei Ma, Le Ye, Tianyu Jia |
| 2023 | Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays. | Kang Eun Jeon, Johnny Rhe, Hyeonsu Bang, Jong Hwan Ko |
| 2023 | ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. | Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini |
| 2023 | Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach. | Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa |
| 2023 | REFROM: Responsive, Energy-Efficient Frame Rendering for Mobile Devices. | Tsung-Yen Hsu, Yi-Shen Chen, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo |
| 2023 | TensorCV: Accelerating Inference-Adjacent Computation Using Tensor Processors. | Dongho Ha, Won Woo Ro, Hung-Wei Tseng |
| 2023 | IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines. | Omar Ghazal, Simranjeet Singh, Tousif Rahman, Shengqi Yu, Yujin Zheng, Domenico Balsamo, Sachin B. Patkar, Farhad Merchant, Fei Xia, Alex Yakovlev, Rishad A. Shafik |
| 2023 | Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. | Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel |
| 2023 | AR-PIM: An Adaptive-Range Processing-in-Memory Architecture. | Teyuh Chou, Fernando Garca-Redondo, Paul N. Whatmough, Zhengya Zhang |
| 2023 | A Self-Powered Predictive Maintenance System Based on Piezoelectric Energy Harvesting and TinyML. | Zijie Chen, Yiming Gao, Junrui Liang |
| 2023 | Development of Tropical Algebraic Accelerator with Energy Efficient Time-Domain Computing for Combinatorial Optimization and Machine Learning. | Qiankai Cao, Xi Chen, Jie Gu |
| 2023 | Scaled Population Division for Approximate Computing. | Kunal Bharathi, Sunil P. Khatri, Jiang Hu |