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End-to-End Design Flow for Resistive Neural Accelerators (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems) |
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6 days ago by Max Uhlmann, T. Rizzi, J. Wen, E. Quesada +7 more
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| 2. |
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TOM: A Ternary Read-only Memory Accelerator for LLM-powered Edge Intelligence |
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Feb 24, 2026 by Hongyi Guan, Yijia Zhang, Wenqiang Wang, Yizhao Gao +3 more
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| 3. |
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Azure-Lily: An FPGA Architecture with Analog IMC Engines for Efficient AI (ACM Transactions on Architecture and Code Optimization (TACO)) |
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Feb 18, 2026 by Archit Gajjar, R. Sunketa, Lei Zhao, Omar Eldash +6 more
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| 4. |
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DARTH-PUM: A Hybrid Processing-Using-Memory Architecture |
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Feb 17, 2026 by Ryan Wong, B. Feinberg, Saugata Ghose
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| 5. |
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Scalable and robust multi-bit spintronic synapses for analog in-memory computing (npj Unconventional Computing) |
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Feb 16, 2026 by K. K. Gupte, Sohan Salahuddin Mugdho, Cheng Huang, Cheng Wang
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| 6. |
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MXFormer: A Microscaling Floating-Point Charge-Trap Transistor Compute-in-Memory Transformer Accelerator |
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Feb 12, 2026 by G. Karfakis, S. Chakrabarty, V. K. Jacob, S. Qiao +3 more
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| 7. |
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Implementation of Adder Circuits using Majority Functions on Memristor Crossbar (Journal of Circuits, Systems and Computers) |
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Feb 11, 2026 by Pravanjan Samnanta, P. P. Das, Indranil Sengupta
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| 8. |
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Investigating Energy Bounds of Analog Compute-in-Memory with Local Normalization |
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Feb 8, 2026 by Brian Rojkov, Shubham Ranjan, Derek Wright, Manoj Sachdev
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| 9. |
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In-Pipeline Integration of Digital In-Memory-Computing into RISC-V Vector Architecture to Accelerate Deep Learning |
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Feb 2, 2026 by Tommaso Spagnolo, Cristina Silvano, R. Massa, Filippo Grillotti +2 more
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| 10. |
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A Novel SRAM In-Memory Computing Accelerator Design Approach with R2R-Ladder for AI Sensors and Eddy Current Testing (AI Sensors) |
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Jan 15, 2026 by K. Becker, Martin Zimmerling, Matthias Landwehr, Dirk Koster +2 more
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| 11. |
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A fully integrated analogue closed-loop in-memory computing accelerator based on static random-access memory (Nature Electronics) |
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Jan 14, 2026 by P. Mannocci, C. Zucchelli, Irene Andreoli, A. Pezzoli +7 more
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| 12. |
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XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators (arXiv.org) |
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Jan 11, 2026 by Osama Yousuf, Andreu L. Glasmann, Martin Lueker-Boden, Sina Najmaei +1 more
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| 13. |
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Achieving high precision in analog in-memory computing systems (npj Unconventional Computing) |
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Jan 7, 2026 by P. Mannocci, Giacomo Larelli, Marco Bonomi, D. Ielmini
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| 14. |
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The design of analogue in-memory computing tiles (Nature Electronics) |
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Dec 1, 2025 by Abhairaj Singh, M. Le Gallo, A. Vasilopoulos, J. Luquin +3 more
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| 15. |
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Deep learning software stacks for analogue in-memory computing-based accelerators (Nature Reviews Electrical Engineering) |
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Jul 2, 2025 by Corey Lammie, Hadjer Benmeziane, W. Simon, E. Ferro +5 more
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| 16. |
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Processing-in-memory for genomics workloads (IEEE Micro) |
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May 31, 2025 by W. Simon, Leonid Yavits, Konstantina Koliogeorgi, Yann Falevoz +11 more
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| 17. |
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Probabilistic photonic computing for AI (Nature Computational Science) |
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May 1, 2025 by Frank Brückerhoff-Plückelmann, A. Ovvyan, Akhil Varri, Hendrik Borras +8 more
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| 18. |
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CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory (IEEE Transactions on Parallel and Distributed Systems) |
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Apr 9, 2025 by W. Simon, I. Boybat, Riselda Kodra, E. Ferro +7 more
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| 19. |
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The growing memristor industry (Nature) |
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Apr 1, 2025 by M. Lanza, S. Pazos, Fernando Aguirre, A. Sebastian +11 more
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| 20. |
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Author Correction: Kernel approximation using analogue in-memory computing (Nature Machine Intelligence) |
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Jan 21, 2025 by J. Büchel, Giacomo Camposampiero, A. Vasilopoulos, Corey Lammie +3 more
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| 21. |
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Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing (Nature Computational Science) |
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Jan 1, 2025 by J. Büchel, A. Vasilopoulos, W. Simon, I. Boybat +8 more
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| 22. |
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Kernel approximation using analogue in-memory computing (Nature Machine Intelligence) |
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Dec 1, 2024 by J. Büchel, Giacomo Camposampiero, A. Vasilopoulos, Corey Lammie +3 more
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| 23. |
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Hardware implementation of memristor-based artificial neural networks (Nature Communications) |
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Mar 4, 2024 by F. Aguirre, A. Sebastian, M. Le Gallo, Wenhao Song +27 more
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| 24. |
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Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error (IEEE Journal on Emerging and Selected Topics in Circuits and Systems) |
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Dec 1, 2023 by J. Büchel, A. Vasilopoulos, B. Kersting, C. Lammie +6 more
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| 25. |
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Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing (IEEE Transactions on Electron Devices) |
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Dec 1, 2023 by A. Vasilopoulos, J. Büchel, B. Kersting, C. Lammie +7 more
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| 26. |
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Publisher Correction: Parallel convolutional processing using an integrated photonic tensor core (Nature) |
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Feb 23, 2021 by J. Feldmann, N. Youngblood, M. Karpov, H. Gehring +12 more
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| 27. |
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Parallel convolutional processing using an integrated photonic tensor core (Nature) |
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Jan 1, 2021 by J. Feldmann, N. Youngblood, M. Karpov, H. Gehring +12 more
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| 28. |
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Parallel convolution processing using an integrated photonic tensor core (arXiv.org) |
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Feb 1, 2020 by J. Feldmann, N. Youngblood, M. Karpov, H. Gehring +11 more
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| 29. |
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Impact of MAC Unit Design Architectures and Their Applications in Modern Computing: An In-Depth Review (IEEE Access) |
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Jan 1, 2026 by Sudheer Vishwakarma, Zaheer Khan, Janne J. Lehtomäki
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| 30. |
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High-Speed AXI4-Lite Dynamic MAC Accelerator for RISC-V SoC Designs (ITM Web of Conferences) |
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Jan 1, 2026 by Thirunaavukarasan S, Sriram N, R. G
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