Resistive Random Access Memory

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Period ending 2026-09-21

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  1. Scaled Hippocampus-inspired Neural Networks on Neuromorphic Memristive Hardware

    Sep 14, 2026Joseph A. Kilgore, Jeffrey D. Kopsick, Zahin Ahmed +2Neuromorphic HardwareResistive Random Access Memory

  2. A Memristive Synapse for Online STDP Learning and Inference in SNNs

    Sep 14, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Daniel Arumí +2Spike-Timing-Dependent PlasticitySynaptic Plasticity

  3. A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs

    Sep 12, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Josep Rius +3Resistive Random Access MemorySpiking Neural Networks

  4. Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

    Sep 12, 2026Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2Bio-Inspired FrameworkProbabilistic Inference

  5. RACE-AIMC: Selective Inference for Heterogeneous Analog In-Memory Accelerators at the Edge

    Sep 2, 2026Osama Yousuf, Martin Lueker-BodenIn-Memory ComputingAccelerator

  6. Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial SrTiO3\mathrm{SrTiO_3} on Si memristors via Dynamic Spectral Optimization

    Sep 2, 2026Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena TešićResistive Random Access MemoryConventional Physics-Informed Neural Networks

  7. Analog-DB: An Agent-First Analog Integrated Circuit Database, From Blocks to Systems

    Sep 1, 2026Danial Noori Zadeh, Mohamed B. ElamienAnalog CircuitsAnd Mixed-Signal Circuits

  8. ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory Hardware

    Sep 1, 2026Yuannuo Feng, Yizhe Chen, Wenshuai Yao +4Discrete Diffusion ModelIn-Memory Computing

  9. RevCRN: Reversible Analog Computation using Chemical Reaction Networks

    Aug 11, 2026Saptarshi Biswas, James I. Lathrop, Rana D. ParshadComputableIn-Memory Computing

  10. Is SwiGLU's Open Positive Tail Necessary? Evidence from Closed-Tail Gating with MemGLU

    Aug 7, 2026Yuting Ge, Pengju Yang, Mingkai NieClosureResistive Random Access Memory

  11. Provably Efficient Self-Calibrating Quantum Fault Tolerance

    Aug 6, 2026Weiyuan Gong, Hong-Ye HuQuantum Error CorrectionPost-Quantum Cryptography

  12. NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory

    Aug 3, 2026Yizhe Chen, Wenshuai Yao, Saiya Wang +6In-Memory ComputingMixed-Precision Quantization

  13. Investigating reservoir computing for branch prediction in pipelined processors using emerging CMOS memristor devices

    Jul 29, 2026Harvey Samuel George Johnson, Sendy PhangResistive Random Access MemoryReservoir Computing

  14. Mitigating the Impact of Retention Loss on Inference Accuracy in 65 nm Single-Poly Floating-Gate Analog In-Memory Computing

    Jul 27, 2026Mirko Brazzini, Giulio Filippeschi, Alessandro Catania +2In-Memory ComputingGraph Neural Network Inference

  15. Extremal Chowla sets and their linear analogues: A human-AI mathematical investigation using Co-Scientist

    Jul 25, 2026Mohsen Aliabadi, Keith Driscoll, Elliot Krop +3Finite GroupsRiemann Zeta Function

  16. Multi-primitive in-memory computing for Monte Carlo tree search

    Jul 24, 2026Tergel Molom-Ochir, Benjamin F. Morris, Yintao He +6Monte Carlo Tree SearchIn-Memory Computing

  17. RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory

    Jul 23, 2026Zahra Yousefijamarani, Alaa AlameldeenTransformer AttentionTransformer Architectures

  18. Leveraging ECRAM for Edge Continual Learning

    Jul 22, 2026Nabila Tasnim, Haoran Liu, Qing Cao +1Efficient Continual LearningEdge Computing

  19. ThRIve: Thermally Robust CNN Inference via Low-Rank Adaptation in Heterogeneous PIM Architectures

    Jul 19, 2026Vibhanshu Sharma, Pratyush Dhingra, Janardhan Rao Doppa +1Graph Neural Network InferenceSparse Deep Neural Network Accelerators

  20. How to Build Marcus's Algebraic Mind: From Thagard's Brain--Mind Viewpoint

    Jul 18, 2026Hiroyuki Chuma, Kanji Otsuka, Yoichi SatoAlgebraic StructuresIn-Memory Computing

  21. Mapping Order in Semicrystalline Polymers using Machine Learning of Nanobeam Electron Diffraction

    Jul 18, 2026Nicholas Marchese, Arthur R. C. McCray, Yael Tsarfati +4Cryo-Electron MicroscopyTransmission Electron Microscopy

  22. A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing

    Jul 17, 2026Owen Lockwood, Jérémy Béjanin, Joost Bus +4ThermodynamicsIn-Memory Computing

  23. NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference

    Jul 16, 2026Jiajun Hu, Ruthwik Reddy Sunketa, Lei Zhao +3In-Memory ComputingField-Programmable Gate Arrays

  24. ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM

    Jul 16, 2026Hyunwoo Oh, Suyeon Jang, Hanning Chen +3In-Memory ComputingMatrix Multiplication

  25. Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation

    Jul 15, 2026Dimple Vijay Kochar, Hae-Seung Lee, Anantha P. ChandrakasanAnalog CircuitsAnalog

  26. Single-Entity Spiking Neuron Models: Survey

    Jul 8, 2026Leon Parepko, Danila Shulepin, Albert NasybullinBiologicalAnalog

  27. Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource

    Jul 8, 2026Gunner Levi HoweSynaptic PlasticityAnalog

  28. Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing

    Jul 6, 2026Joel Klein, Rebecca Pelke, Roberto Laudani +2Inference WorkloadsIn-Memory Computing

  29. Rethinking Neural Nonlinearity as Gating

    Jul 3, 2026Muhammad Sabih, Frank Hannig, Jürgen TeichActivation FunctionsGated Recurrent Unit

  30. Self-Organized Learning in Oscillatory Neural Networks with Memristive Signed Couplings

    Jul 1, 2026Riley Acker, Aman Desai, Garrett Kenyon +1Neuromorphic HardwareResistive Random Access Memory

  31. Co-Optimization of Analog Kolmogorov-Arnold Networks for Low-Power Function Approximation in Flexible Electronics

    Jun 26, 2026Paula Carolina Lozano Duarte, Georgios Zervakis, Mehdi Tahoori +1AnalogKolmogorov-Arnold Networks

  32. Generative Models on Analog Hardware with Dynamics

    Jun 25, 2026Yu-Neng Wang, Sara AchourAnalogGenerative Models

  33. Compiler-Driven Approximation Tuning for Hyperdimensional Computing

    Jun 25, 2026Xavier Routh, Abdul Rafae Noor, Akash Kothari +4Code OptimizationApproximation

  34. Design and Development of a Neuromorphic Silicon Suite: PVT Sensing, Stochastic LIF Inference, On-Chip STDP Learning, and Crossbar Programming

    Jun 21, 2026Poornima Kumaresan, Santhosh SivasubramaniNeuromorphic HardwareResistive Random Access Memory

  35. Multi-Level Resistive Synapses for On-Chip Neural Networks: A Physics-Based Design of a Memristive Crossbar Fabric with Quasi-Continuous Conductance States

    Jun 21, 2026David Alejandro Trejo PizzoResistive Random Access MemoryNeuromorphic Hardware

  36. Low-power analogue neural networks with trainable nonlinear connections for continuous control

    Jun 21, 2026Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward +13AnalogNeural Network

  37. ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors

    Jun 16, 2026Ching-Yi Lin, Shamik Kundu, Arnab Raha +1In-Memory ComputingGraph Neural Network Inference

  38. Neural dynamical systems on ferroelectric compute-in-memory for real-time forecasting

    Jun 15, 2026Keshava Katti, Adithya Selvakumar, Pratik Chaudhari +1Neuromorphic HardwareIn-Memory Computing

  39. Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition

    Jun 11, 2026Benedikt Hilmes, Nick Rossenbach, Ralf SchlüterIn-Memory ComputingResistive Random Access Memory

  40. Modern analog computing for solving differential and matrix equations

    Jun 11, 2026Zhong Sun, Piergiulio Mannocci, Manuel Le Gallo +1In-Memory ComputingAnalog

  41. Analog Quantum Asynchronous Event-Based Graph Neural Network

    Jun 9, 2026Kristian Sotirov, Shaheen Acheche, Antonio A. Gentile +1Quantum ComputingHybrid Quantum Neural Networks

  42. Unsupervised Deep Learning for Limited-Angle STEM-EDX Tomography -- Application to 3D Chemical Analysis of Phase-Change Memory Devices

    Jun 9, 2026Daniel del Pozo Bueno, Serge Brosset, Theo Monniez +3Transmission Electron MicroscopyTomography

  43. Beyond Gradient Descent: Adam for Analog Ising Machines

    Jun 2, 2026Stijn Van Vooren, Guy Van der Sande, Guy VerschaffeltTwo-Dimensional Ising ModelAdam

  44. CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation

    Jun 1, 2026Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Brahmdutta Dixit +3In-Memory ComputingResistive Random Access Memory

  45. Real-time Multi-instrument Autonomous Discovery of Novel Phase-change Memory Materials

    May 18, 2026Chih-Yu Lee, Haotong Liang, Ryan Kim +4Data-Driven Materials DiscoveryResistive Random Access Memory

  46. Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems

    May 14, 2026Wentao Yu, Vincent W. S. WongHeterogeneous Edge DevicesIn-Memory Computing

  47. Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations

    May 12, 2026Arthur Fyon, Julien Brandoit, Loris Mendolia +3AnalogRecurrent Model

  48. Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications

    May 12, 2026Julien Brandoit, Arthur Fyon, Damien Ernst +1Recurrent ModelRecurrent Neural Networks

  49. A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory

    May 12, 2026Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski +2Resistive Random Access MemoryAnalog

  50. ROMER: Expert Replacement and Router Calibration for Robust MoE LLMs on Analog Compute-in-Memory Systems

    May 12, 2026Wenyong Zhou, Yuannuo Feng, Yizhe Chen +6Mixture-Of-Expert Language ModelsIn-Memory Computing

  51. Leveraging Non-Equilibrium ECRAM Dynamics for Short-Term Plasticity in Neuromorphic Circuits

    May 11, 2026Alex Currie, Sean Borkholder, Nithil Harris Manimaran +4Resistive Random Access MemoryNeuromorphic Hardware

  52. Formally Verifying Analog Neural Networks Under Process Variations Using Polynomial Zonotopes

    May 11, 2026Yasmine Abu-Haeyeh, Tobias Ladner, Matthias Althoff +1Neural Network VerificationAnalog

  53. A Controlled Diagnostic Study of Hardware-Induced Distortions in Hardware-Aware Training

    May 10, 2026Yunxuan Fang, Xinhe WangAcceleratorIn-Memory Computing

  54. Multibit neural inference in a N-ary crossbar architecture

    Apr 28, 2026Anatole Moureaux, Anthony Lopes Temporao, Flavio Abreu AraujoIn-Memory ComputingResistive Random Access Memory

  55. AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval

    Apr 25, 2026Yihan Wang, Lei Li, Yao Lai +2Analog CircuitsAnalog

  56. On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

    Apr 23, 2026Rishona Daniels, Duna Wattad, Ronny Ronen +2Reservoir ComputingResistive Random Access Memory

  57. Ternary Memristive Logic: Hardware for Reasoning Realized via Domain Algebra

    Apr 20, 2026Chao LiResistive Random Access MemoryPropositions

  58. Lost in the Vibrations: Vision Language Models Fail the Dynamic Gauges Test

    Apr 19, 2026Tairan Fu, Francisco Javier Santos-Martín, Javier Conde +2VibrationGauge

  59. Fully Analog Resonant Recurrent Neural Network via Metacircuit

    Apr 19, 2026Zixin Zhou, Tianxi Jiang, Menglong Yang +3Neuromorphic HardwareAnalog

  60. Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training

    Feb 24, 2026Quan Xiao, Jindan Li, Zhaoxian Wu +2In-Memory ComputingResistive Random Access Memory