Resources

  • “Keep All in Memory with Maxwell: a Near-SRAM Computing Architecture for Edge AI Applications”, Grégoire Axel Eggermann, Giovanni Ansaloni, David Atienza, 26th International Symposium on Quality Electronic Design (ISQED), 2025
  • Yue, Wenshuo, et al. "Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models." Nature Communications 16.1 (2025): 1031.
  • Yue, Wenshuo, et al. "A scalable universal Ising machine based on interaction-centric storage and compute-in-memory." Nature Electronics 7.10 (2024): 904-913.
  • Fu, Yihan, et al. "PROCA: Programmable Probabilistic Processing Unit Architecture with Accept/Reject Prediction & Multicore Pipelining for Causal Inference. " 2025 HPCA.
  • Yan, Bonan, et al. "A 1.041-Mb/mm 2 27.38-TOPS/W signed-INT8 dynamic-logic-based ADC-less SRAM compute-in-memory macro in 28nm with reconfigurable bitwise operation for AI and embedded applications." 2022 IEEE International Solid-State Circuits Conference (ISSCC). Vol. 65. IEEE, 2022.

  • Wang. F and Liu, S., 2025. Putting the Smarts into Robot Bodies. Communications of the ACM, 68(3).

  • Dataflow Accelerator Architecture for Autonomous Machine Computing, in ICCAD 2024

  • Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation, in ISCA 2025

  • Langenegger, et al. In-memory factorization of holographic perceptual representations. Nat. Nanotechnol. (2023).

  • Hersche, et al. A neuro-vector-symbolic architecture for solving Raven’s progressive matrices. Nat Mach Intell. (2023).

  • “Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks”, Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li & Arindam Basu, Nature Communications volume 16, Article number: 1136 (2025).

  • Tingting Zhang, Qichao Tao, Bailiang Liu, Andrea Grimaldi, Eleonora Raimondo, Manuel Jimenez, Maria Jose Avedillo, Juan Nunez, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona, Giovanni Finocchio, and Jie Han, "A Review of Ising Machines Implemented in Conventional and Emerging Technologies," IEEE Transactions on Nanotechnology, Vol. 23, pp. 704-717, 2024.

  • Honglan Jiang, Francisco J. H. Santiago, Hai Mo, Leibo Liu, and Jie Han, "Approximate Arithmetic Circuits: A Survey, Characterization and Recent Applications," Proceedings of the IEEE, Vol. 108, No. 12, pp. 2108 - 2135, 2020.

  • Tingting Zhang, Hongqiao Zhang, Zhengkun Yu, Siting Liu, and Jie Han, "A High-Performance Stochastic Simulated Bifurcation Ising Machine," Design Automation Conference (DAC), San Francisco, California, USA, June 23-27, 2024.