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ORCID7th AICAS 2025: Bordeaux, France
- 7th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2025, Bordeaux, France, April 28-30, 2025. IEEE 2025, ISBN 979-8-3315-2424-1
- Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang:
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. 1-5 - Mewe-Hezoudah Kahanam, Karol Desnos, Guillaume Fortier, Maxime Pelcat:
GEMMify: A Unified Model for Layer-Wise DNN Performance Prediction on Edge GPUs. 1-5 - Alptekin Vardar, Franz Müller, Gonzalo Cuñarro, Nellie Laleni, Nandakishor Yadav, Thomas Kämpfe:
Memory-Efficient Spiking Neural Networks Using MLC FeFETs and Mixed Quantization. 1-5 - Thomas Louis, Alain Pegatoquet, Benoît Miramond, Adrien Girard:
Hybrid Neural Networks: Integrating Spikes for Energy Efficient Computation. 1-5 - Ganji Zhang, Hao Wu:
UMS-Net: A Multi-Scale Difference Network for Cuffless Blood Pressure Estimation. 1-5 - Mani Shankar Yadav, Akhilesh Rawat, Brajesh Rawat:
Accelerating the Self-consistent Quantum Transport Simulation Model With Advanced Trained Neural Networks. 1-5 - Jinbo He, Hao Wu:
Continuous Blood Pressure Measurement Guided by Physiological Mechanisms. 1-5 - Nicola Russo, Thomas Madsen, Konstantin Nikolic:
Neuromorphic Robotics on Conventional Low-Power CPU Hardware. 1-5 - Minwei Lin, Duy-Hieu Bui, Chao Wang, Wangzilu Lu, Ruoyu Tang, Qing Zhang, Yuhang Zhang, Jian Zhao, Xuan-Tu Tran, Yongfu Li:
LogicCraft: LLM-Assisted Optimization of Netlist to Layout for Complex Custom Standard Cell Designs. 1-5 - Yinghao Li, Jiaqi Lv, Xueling Wang, Xu Dai, Xufeng He, Lei Wang, Yiran Zhang, Xin Si, Yang Hu, Shouyi Yin:
AnalogAI: A Generalized Accuracy Recovery Framework for DNNs under Analog Computing. 1-5 - Peilin Chen, Xiaoxuan Yang:
Optimizing and Exploring System Performance in Compact Processing-in-Memory-based Chips. 1-5 - Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond, Olivier Montfort, Vincent Huard:
Hardware-Aware Neural Architecture Search for Memory constrained Embedded Neural Networks Accelerators. 1-5 - Kiran Gunnam, Pranshu Tapan Mandal, Shivam Khandelwal, Rajesh Bhagwat:
Enhancing Training Efficiency: A Novel Approach to Handling GPU Failures in Large-Scale Distributed System for LLM Training. 1-5 - Shaobo Luo, Albert Yu, Yiming Zhu, Huiyuan Sun, Zhiyuan Xie, Ziyi Guan, Hong Huang, Ao Shen, Qiyuan Zhang, Mei Yan, Hao Yu:
ChatDNA: An End-to-end Genetics Analysis Pipeline with Embedding Databases and Prompt Learning. 1-6 - Yu-Jen Chang, Ching-Te Chiu, Tzu-Chun Huang:
Reconfigurable Dataflow and Tile Shape Optimization in SystemC-Based NoC of 1D PE Array Simulators integrated with TVM. 1-5 - Florent Derue, Slavisa Jovanovic, Hassan Rabah, Serge Weber:
SWAP-GNG: A Scalable HW Architecture for Multi Growing Neural Gas Graph Learning for Continual Learning. 1-5 - Yulong Song, Qiang Tao, Jinlun Ji, Congyi Sun, Yuxiang Fu, Li Li:
Optimizing Mixed-Precision DNN Scheduling on Heterogeneous SoCs for Enhanced Robustness and Efficiency. 1-5 - Zhou Wang
, Haochen Du, Zhou Shu, Vivek Mohan, Liyuan Guo, Wei Mao, Baoyi Han, Xiaonan Tang, Shushan Qiao, Shouyi Yin, Anil A. Bharath, Manos Mic Drakakis:
RSPE: A High Energy Efficient SNN Inference Processor with RISC-V based Dynamic Pruning Mechanism. 1-5 - Susanna Di Giacomo, Michele Ronchi, Mattia Amadori, Giacomo Borghi, Marco Carminati, Carlo Fiorini:
An Analog Neural Network ASIC for In-Sensor Processing of Radiation Detector Signals. 1-5 - Guangyu Jiang, Xiaoyue Hu, Weiling Li, Yan Fang:
Efficient Neuromorphic QUBO Solver with Spintronic Resonators. 1-5 - Xingyu Zhu, Longhao Chen, Cheng Zhang, Pengcheng Yang, Tingjie Yang, Guosheng Yu, Evens Pan, Xiguang Wu, Bo Li, Wei Mao, Genquan Han:
Hardware-Aware Optimization of Large Language Models for Enhanced Throughput on Arm CPUs. 1-5 - Hyungnam Joo, Junha Ryu, Seryeong Kim, Jongjun Park, Hoi-Jun Yoo:
A Real-Time 3DGS-SLAM with Voxel-based Memory Management and Region of Interest-based Pixel-wise Skipping Architecture on Edge Device. 1-5 - Yuto Moriguchi, Nobukazu Takai:
Optimal Mapping of Monte Carlo Analysis for Analog Circuit Designing using Bayesian Neural Networks. 1-5 - Yuankang Zhao, Arne Heittman, Emre Neftci:
A Reconfigurable Event Driven Accelerator for SNN Inference. 1-6 - Youssef Kandil, Mohamed Shalan:
Efficient MFCC Computation for Keyword Spotting on Embedded Systems: Optimization Techniques and Performance Analysis. 1-5 - Zixuan Shen, Jian Xiao, Heng Ping, Yuhao Mei, Bowen Shi, Zhengzhe Wei, Boyi Dong, Xinglong Ji, Yuanjin Zheng, Chao Wang:
REN: A Reconfigurable End-To-end NeuroSLAM Hardware Accelerator for Micro Mobile Robots. 1-5 - Kiran Gunnam, Prasad Chandrashekara, Murali Kothandapani, Rajesh Bhagwat, Priyanshi Jain:
Addition of CXL memory pool to increase LLM training check-pointing frequency. 1-4 - Xinyu Kang, Xingbo Wang, Yuru Li, Terry Tao Ye:
Range Encoding: A Low-Power Spiking Neural Network Encoding Scheme for ECG Classification. 1-4 - Antoine Gautier, Soumya Rank, Benoît Larras, Antoine Frappé:
A 26.7 TOPS/W Multiplier-Less Digital In-Memory Computing Macro with low-cost Multi-Layer Inference in 28nm FDSOI for edge AI. 1-5 - Amélie Gruel, Adrien F. Vincent, Chip-Hong Chang, Sylvain Saïghi:
Performance Evaluation of Neuromorphic Visual Attention Based on Proto-Objects. 1-5 - Elham Binshaflout, Chaima Zaghouani, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Sameh Najeh, Gianluca Setti:
AI-driven Traffic Scene Understanding Using Static LiDAR Sensors. 1-5 - Tae-Hwan Kim, Su-Jung Lee, Sohye Lee, Jiyoung Lee:
Locality-Aware Adaptive Threshold Scaling for Efficient Binary Neural Networks Inference. 1-5 - Zhou Wang, Haochen Du, Yanqing Xu, Zhou Shu, Jiuren Zhou, Liyuan Guo, Baoyi Han, Xiaonan Tang, Shushan Qiao, Shouyi Yin, Anil A. Bharath, Manos Mic Drakakis:
UPE: A Device-Edge DNN Inference Artificial Intelligence Processor with Supporting Reconfigurable Training. 1-5 - Emanuel Buttaci, Giuseppe Carlo Calafiore:
Aiding Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information. 1-5 - Kohei Mori, Kazuyuki Wada, Kawori Sekine, Shinsuke Hara, Satoru Tanoi, Akifumi Kasamatsu:
Design of an Analog Integrated Circuit Solving the Two-Armed Bandit Problem in 180-nm CMOS. 1-5 - Huimin Rong, Hao Wu, Ruifang Liu:
An AutoEncoder-Based Semi-Supervised Learning for Efficient Blood Pressure Estimation with Minimal Labeled Data. 1-5 - Seongho Jeong, Minseok Seo, Jungi Hyun, Hyuk-Jae Lee, Xuan Truong Nguyen:
Activation Swapping for Feed Forward Networks in Batched LLM Inference on NPU. 1-5 - Kyungchul Lee, Dongwoo Lew, Jongsun Park:
Tru-Sign: Lossless Truncated Sign Based Energy Efficient DNN Accelerator. 1-5 - Seoyoung Lee, Donghyeon Yi, Edward Choi, Vincent Lukito, Jongho Kim, Ryan G. L. Koh, Sohmyung Ha, Ik-Joon Chang, Minkyu Je:
A 94.76%-accuracy, <16μs/classification-latency STT-MRAM CiM-based Classifier for Closed-loop Peripheral Nerve Modulation Implants. 1-5 - Sanaz Mahmoodi Takaghaj:
ViT-LCA: A Neuromorphic Approach for Vision Transformers. 1-5 - Tingjie Yang, Bo Li, Yongfu Li, Wei Mao, Genquan Han:
Circuit-Agent: A Large Language Model Based Circuit Agent Framework for Analog/Mixed-signal Circuit Design Automation. 1-5 - Kazi Barria Nine, Foroozan Karimzadeh, Zishen Wan, Arijit Raychowdhury:
MemQuant: Towards Memory-aware Post-Training Quantization for Multimodal Transformers. 1-5 - Longhao Chen, Cheng Zhang, Huiyuan Zhang, Chi Wang, Yina Zhao, Xiaoxi Li, Xiguang Wu, Wei Mao, Genquan Han:
Optimizing Inference Performance for Large Language Models on ARMv9 Architecture. 1-5 - Hongliu Yang, Ronald Tetzlaff:
Epileptic seizure prediction: Transfer learning with compact AI models. 1-5 - Jui-Min Hsu, Ching-Te Chiu, Mao-Hsiu Hsu, Che-Wei Liao:
AiRDUNet: All-In-One Residual Dense U-Net with Automated Humidity Quality Assessment for Partial Wet Fingerprint Restoration and Recognition. 1-5 - Jiaming Wu, Adrien D'hollande, Haoran Du, Marcelo Rozenberg:
A Minimal Hardware Implementation of a Neural Integrator with Graded Persistent Activity. 1-5 - Sanaz Mahmoodi Takaghaj, Jack Sampson:
To Spike or Not to Spike, that is the Question. 1-5 - Dexuan Huo, Jilin Zhang, Hong Chen:
ANP-L: A 22nm 0.72pJ/SOP Asynchronous SNN-based Edge-AI Processor Enabling One/Few-shot On-chip Incremental Learning. 1-5 - Bijoy Kundu, Roland Müller, Yogesh Ramesh Patil, Ralf Brederlow:
A 107 TOPS/W Instruction Controlled Scalable 8b Precision Analog In-Memory Computing Core with Flexible Kernel Routing for Embedded Applications. 1-5 - Luca Benfenati, Sofia Belloni, Alessio Burrello, Panagiotis Kasnesis, Xiaying Wang, Luca Benini, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari:
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation. 1-5 - Tianze Li, Chenjia Xie, Jiayuan Chen, Yuan Du, Li Du:
KV Cache Compression Based on Token-Level Redundancy Elimination and Bit-Level Encoding. 1-5 - Mohit Gupta, Ravi S. Siddanath, Mudit Gupta, Surya Prakash, Manish Goswami, Kavindra Kandpal:
Energy-Efficient, Nonvolatile 8T-2MTJ Ternary CAM Cell for Low Search Delay. 1-5 - Valentin Meunier, Amélie Gruel, Adrien F. Vincent, Sylvain Saïghi:
Comparison of Hardware-friendly, Audio-to-spikes Cochlear Encoding for Neuromorphic Processing. 1-5 - Wei-Lun Chen, Chia-Yeh Hsieh, Yu-Hsiang Kao, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao:
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images. 1-5 - Elias Trommer, Bernd Waschneck, Akash Kumar:
QoS-Nets: Adaptive Approximate Neural Networks. 1-5 - Jiaxiang Li, Youhua Shi:
Computation-Efficient Hardware Accelerator for Unstructured-Pruned Spiking Convolutional Neural Networks. 1-5 - Han Cho, Joongho Jo, Seung-Eon Hwang, Jongsun Park:
DPP-ViT: Dynamic Patch Pruning for Low Complexity Vision Transformer Accelerator. 1-5 - Lyu-Ming Ho, Chih-Yao Liang, Juinn-Dar Huang:
Codeword Decomposition and Recoding Based Lossless Model Compression Algorithm and Its VLSI Decompressor Design. 1-5 - Simon Richter, Darío Fernández Khatiboun, Maryam Sadeghi, Milad Zamani, Farshad Moradi:
Non-uniform Memory Partitioning For Low-Power Spiking Neural Networks. 1-5 - Yong-Lun Xiao, Chia-Wei Chang, Cheng-Ting Shih, Jing-Jia Liou, Chih-Tsun Huang, Yao-Hua Chen, Juin-Ming Lu:
An Adaptive Scheme of Threshold Adjustment for Dynamic Sparsity Extraction of Self-Attention Network. 1-5 - Georgios Kleitsiotis, Athanasios Passias, Evangelos Tsipas, Karolos-Alexandros Tsakalos, Iosif-Angelos Fyrigos, Panagiotis Bousoulas, Stavros Kitsios, C. Tsioustas, Ioannis Vourkas, Panagiotis Dimitrakis, Dimitris Tsoukalas, Georgios Ch. Sirakoulis:
Semi-recurrent Physics Informed Neural Networks for Modelling Resistive Memories. 1-5 - Adnan Haidar, Vasileios G. Ntinas, Ronald Tetzlaff:
Drift-Aware Regularization for Long-Term Stability in Phase-Change Memory Based Neural Network Implementations. 1-5 - Gabriel G. Gattaux, Antoine Wystrach, Franck Ruffier, Julien Serres:
Enhancing Ant-Inspired Visual Compass with Focused Visual Scan in a Compact Robot. 1-5 - Yan-Lin Hung, Ping-Han Liu, Zun-Sheng Wu, Bo-Cheng Lai, Shyh-Jye Jou:
A CIM Crossbar Array Data Mapping Methodology for Unstructured Sparse CNN. 1-5 - Bin Liu, Hao Wu, Guoxing Wang, Jiarong Chen, Cheng Chen, Grantham K. H. Pang:
Ring-BP: Using a Wearable Smart Ring to Cufflessly Estimate Blood Pressure with Mobile and Efficient Net. 1-5 - Cheol-Min Kang, Nguyen-Dong Ho, Dongyoung Lee, Yonghwan Kwon, Donghyun Kim, Inhan Kang, Ik Joon Chang:
SAPIENS: Towards Energy-efficient Deep Spiking Neural Networks via the Approximation of Power-expensive Neurons. 1-5 - Jan Finkbeiner, Emre Neftci:
On-Chip Learning via Transformer In-Context Learning. 1-5 - Ruoyu Tang, Chao Wang, Jiajun Yap, Zixian Guo, Yuhang Zhang, Jian Zhao, Minghui Yin, Zhiqiang Li, Fakhrul Zaman Rokhani, Yongfu Li:
D2D-LLM+: Unified Translation Between Design Rules/Manuals and DRC - Bridging Inconsistencies for Accurate Implementation. 1-5 - Oliver Renke, Holger Blume:
Optimizing the Semantic Segmentation CNN SalsaNext on a Vertical Vector Processor. 1-5 - Yu-Sung Lee, Jyun-Siou Huang, Yao-Hua Chen, Chih-Tsun Huang:
HEADS: Head-Wise Efficient and Adaptive Sparsification for Transformer-Based Models. 1-5 - Shengyu Gao, Weiyang He, Chip-Hong Chang, Amélie Gruel, Sylvain Saïghi:
Spatiotemporal Trigger on Event Data for Backdoor Attack on Spiking Neural Networks. 1-5 - Nicolas Ramos, Hai Li:
PBNNs: Plastic Bayesian Neural Networks for Bio-Inspired Bayesian Learning. 1-5 - Thien Nguyen, William Guicquero:
End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning. 1-5 - Yoochan Yoon, Hyunjin Song, Soo Youn Kim, Minkyu Song:
Design of a Full CMOS Computer Vision Sensor with an Embedded Analog Convolutional Neural Network Processor for Human Face Recognition. 1-4 - Luca Colagrande, Luca Benini:
A Multicast-Capable AXI Crossbar for Many-core Machine Learning Accelerators. 1-5 - Ming-Jay Yang, Zhenming Yu, Giacomo Pedretti, Emre Neftci, John Paul Strachan:
Improved Memristor Control using Device Physics and Deep Reinforcement Learning. 1-5 - Thuy T. Pham, Dang-Kièn Germain Pham, Reda Mohellebi, Pierre Almairac, Carolina Pedrosa, Patricia Desgreys:
Piecewise NARX Behavioral Model for RF Power Amplifiers in 5G Applications. 1-5 - Yu-Shan Tai, An-Yeu Andy Wu:
Efficient Coarse-to-Fine Diffusion Models with Time Step Sequence Redistribution. 1-5
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last updated on 2025-11-16 23:37 CET by the dblp team
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