Analog Computing

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24 papers4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Lock-in EP: An In-Situ Training Algorithm for Oscillatory Hardware

    Oct 5, 2026Sowjanya Tammali, Wilkie Olin-AmmentorpAnalog ComputingEquilibrium Propagation

    Computer Science, Missouri University of Science and Technology, 500 West 15th Street, Rolla, 65409, MO, USA. · Mathematics & Computer Science Division, Argonne National Laboratory, 9700 S. Cass Avenue, Lemont, 60439, IL, USA.

  2. Making Analog Training Scale: Co-Designing Mapping, Optimizer, and Converters

    Sep 29, 2026Zhaoxian Wu, Tayfun Gokmen, Omobayode Fagbohungbe +2Analog ComputingCompute-in-Memory

    Cornell Tech and Cornell University · IBM T. J. Watson Research Center · Sandia National Laboratories

  3. Analog Computing revisited: A fully analog and minimalistic Damage Detector for Ultrasonic Testing enabling Material-Integrated Structural Health Monitoring

    Sep 28, 2026Stefan BosseAnalog ComputingFault Detection

    University of Koblenz, Practical Computer Science, Koblenz, Germany

  4. Analog-Friendly Predictive Coding without Activation Derivatives

    Sep 26, 2026Francesco InnocentiAnalog ComputingPredictive Coding

    Brain Network Dynamics Unit University of Oxford, UK

  5. Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference

    Sep 14, 2026Niklas Summ, Xiao Wang, Hendrik Borras +2Neural Network RobustnessModel Calibration

    Hardware and Artificial Intelligence Lab, Institute of Computer Engineering, Heidelberg University, Germany

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

    Sep 2, 2026Osama Yousuf, Martin Lueker-BodenEfficient Neural Network InferenceCompute-in-Memory

    WD Research San Jose, CA, USA

  7. Compute-in-Memory Attention: A Time-Domain Analog Softmax Circuit with RC-Tunable Temperature

    Sep 2, 2026Ankur Singh, Ashish Gautam, Shruti R. Kulkarni +1Softmax AttentionAnalog Computing

    Department of Electrical and Computer Engineering, University of Wisconsin–Madison, Madison, WI, USA. · ORNL Oak Ridge, Tennessee, USA.

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

    Sep 1, 2026Yuannuo Feng, Yizhe Chen, Wenshuai Yao +4Compute-in-MemoryDiffusion Sampling

    School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China · Zhicun Research Lab, Beijing, China · School of Integrated Circuits, Peking University, Beijing, China +1

  9. RevCRN: Reversible Analog Computation using Chemical Reaction Networks

    Aug 11, 2026Saptarshi Biswas, James I. Lathrop, Rana D. ParshadAnalog Computing

    Department of Mathematics, Iowa State University, Ames, IA, USA

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

    Aug 3, 2026Yizhe Chen, Wenshuai Yao, Saiya Wang +6Mixed-Precision QuantizationCompute-in-Memory

    School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China · School of Integrated Circuits, Peking University, Beijing, China · Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China

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

    Jul 8, 2026Gunner Levi HoweContinual LearningStability-Plasticity Dilemma

  12. Generative Models on Analog Hardware with Dynamics

    Jun 25, 2026Yu-Neng Wang, Sara AchourAnalog ComputingGenerative Modeling

    Stanford University · USA

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

    Jun 21, 2026Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward +13Efficient Neural Network InferenceKolmogorov-Arnold Networks

    School of Computer Science, University of Sheffield, Sheffield, S1 4DP, United Kingdom · Intrinsic Semiconductor Technologies, London, United Kingdom · School of Chemical, Biological, and Materials Science Engineering, University of Sheffield, Sheffield, S1 3JD, United Kingdom +5

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

    Jun 15, 2026Keshava Katti, Adithya Selvakumar, Pratik Chaudhari +1Compute-in-MemoryEfficient Neural Network Inference

    Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA

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

    Jun 11, 2026Benedikt Hilmes, Nick Rossenbach, Ralf SchlüterAutomatic Speech RecognitionPositional Encoding

    Machine Learning and Human Language Technology Group, Faculty of Computer Science, RWTH Aachen University, Aachen, Germany

  16. Modern analog computing for solving differential and matrix equations

    Jun 11, 2026Zhong Sun, Piergiulio Mannocci, Manuel Le Gallo +1Analog Computing

    Institute for Artificial Intelligence, School of Integrated Circuits, Peking University, Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100871, China. · 2Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy. · 3IBM Research Europe, Rüschlikon, Switzerland.

  17. Beyond Gradient Descent: Adam for Analog Ising Machines

    Jun 2, 2026Stijn Van Vooren, Guy Van der Sande, Guy VerschaffeltCombinatorial OptimizationAdaptive Gradient Methods

    Applied Physics research group, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium∗

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

    May 12, 2026Arthur Fyon, Julien Brandoit, Loris Mendolia +3Energy-Efficient MLKeyword Spotting

    University of Liège Liège, Belgium

  19. Thermodynamic Diffusion Inference with Minimal Digital Conditioning

    Apr 15, 2026Aditi DeAnalog ComputingDiffusion Models

  20. Analog Optical Inference on Million-Record Mortgage Data

    Apr 14, 2026Sofia Berloff, Pavel Koptev, Konstantin MalkovAnalog ComputingPhotonic Computing

    Department of Mathematics, University of York, York, UK · ai1Technologies, 27 Beach Rd Suite 5A Monmouth Beach, NJ 07750, USA

  21. Neuromorphic Computing for Low-Power Artificial Intelligence

    Apr 6, 2026Keshava Katti, Pratik Chaudhari, Deep JariwalaAnalog ComputingNeuromorphic Computing

    Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, USA.

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

    Feb 24, 2026Quan Xiao, Jindan Li, Zhaoxian Wu +2Compute-in-MemoryAnalog Computing

    Department of Electrical and Computer Engineering, Cornell University, New York, NY · IBM T. J. Watson Research Center, Yorktown Heights, NY · Rensselaer Polytechnic Institute, Troy, NY

  23. DARTH-PUM: A Hybrid Processing-Using-Memory Architecture

    Feb 17, 2026Ryan Wong, Ben Feinberg, Saugata GhoseCompute-in-MemoryAnalog Computing

    Univ. of Illinois Urbana-Champaign, Urbana, IL, USA · Sandia National Laboratories, Albuquerque, NM, USA

  24. Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units

    Feb 7, 2026Manuel Escudero, Mohamadreza Zolfagharinejad, Sjoerd van den Belt +2Efficient Neural Network InferenceNeural Network Hardware Acceleration

    1NanoElectronics Group, MESA+ Institute and BRAINS Center for Brain-Inspired Computing, University of Twente, P.O. Box 217, Enschede,2026 7500 AE, The Netherlands. · 2CAESUniversity GroupofandTwente,BRAINSEnschede,Center 7500for Brain-InspiredAE, The Netherlands.Computing · Institute of Physics, University of Münster, Münster, 48149 Germany.