Analog content-addressable memories with memristors von Li, Can, Graves, Catherine E., Sheng, Xia, Miller, Darrin, Foltin, Martin, Pedretti, Giacomo, Strachan, John Paul

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In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks von Milano, Gianluca, Pedretti, Giacomo, Montano, Kevin, Ricci, Saverio, Hashemkhani, Shahin, Boarino, Luca, Ielmini, Daniele, Ricciardi, Carlo

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Device and Circuit Architectures for In‐Memory Computing von Ielmini, Daniele, Pedretti, Giacomo

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Tree-based machine learning performed in-memory with memristive analog CAM von Pedretti, Giacomo, Graves, Catherine E., Serebryakov, Sergey, Mao, Ruibin, Sheng, Xia, Foltin, Martin, Li, Can, Strachan, John Paul

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Brain‐Inspired Structural Plasticity through Reweighting and Rewiring in Multi‐Terminal Self‐Organizing Memristive Nanowire Networks von Milano, Gianluca, Pedretti, Giacomo, Fretto, Matteo, Boarino, Luca, Benfenati, Fabio, Ielmini, Daniele, Valov, Ilia, Ricciardi, Carlo

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Computing high-degree polynomial gradients in memory von Bhattacharya, Tinish, Hutchinson, George H., Pedretti, Giacomo, Sheng, Xia, Ignowski, Jim, Van Vaerenbergh, Thomas, Beausoleil, Ray, Strachan, John Paul, Strukov, Dmitri B.

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Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories von Wang, Wei, Covi, Erika, Milozzi, Alessandro, Farronato, Matteo, Ricci, Saverio, Sbandati, Caterina, Pedretti, Giacomo, Ielmini, Daniele

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A Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic Computing von Munoz-Martin, Irene, Bianchi, Stefano, Hashemkhani, Shahin, Pedretti, Giacomo, Melnic, Octavian, Ielmini, Daniele

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A Spiking Recurrent Neural Network With Phase-Change Memory Neurons and Synapses for the Accelerated Solution of Constraint Satisfaction Problems von Pedretti, Giacomo, Mannocci, Piergiulio, Hashemkhani, Shahin, Milo, Valerio, Melnic, Octavian, Chicca, Elisabetta, Ielmini, Daniele

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In‐Memory Eigenvector Computation in Time O(1) von Sun, Zhong, Pedretti, Giacomo, Ambrosi, Elia, Bricalli, Alessandro, Ielmini, Daniele

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Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks von Munoz-Martin, Irene, Bianchi, Stefano, Pedretti, Giacomo, Melnic, Octavian, Ambrogio, Stefano, Ielmini, Daniele

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In-Memory Computing with Resistive Memory Circuits: Status and Outlook von Pedretti, Giacomo, Ielmini, Daniele

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Roadmap to neuromorphic computing with emerging technologies von Mehonic, Adnan, Ielmini, Daniele, Roy, Kaushik, Mutlu, Onur, Kvatinsky, Shahar, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabe, Spiga, Sabina, Savel’ev, Sergey, Balanov, Alexander G., Chawla, Nitin, Desoli, Giuseppe, Malavena, Gerardo, Monzio Compagnoni, Christian, Wang, Zhongrui, Yang, J. Joshua, Sarwat, Syed Ghazi, Sebastian, Abu, Mikolajick, Thomas, Slesazeck, Stefan, Noheda, Beatriz, Dieny, Bernard, Hou, Tuo-Hung (Alex), Varri, Akhil, Brückerhoff-Plückelmann, Frank, Pernice, Wolfram, Zhang, Xixiang, Pazos, Sebastian, Lanza, Mario, Wiefels, Stefan, Dittmann, Regina, Ng, Wing H., Buckwell, Mark, Cox, Horatio R. J., Mannion, Daniel J., Kenyon, Anthony J., Lu, Yingming, Yang, Yuchao, Querlioz, Damien, Hutin, Louis, Vianello, Elisa, Chowdhury, Sayeed Shafayet, Mannocci, Piergiulio, Cai, Yimao, Sun, Zhong, Pedretti, Giacomo, Strachan, John Paul, Strukov, Dmitri, Le Gallo, Manuel, Ambrogio, Stefano, Valov, Ilia, Waser, Rainer

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Solving matrix equations in one step with cross-point resistive arrays von Sun, Zhong, Pedretti, Giacomo, Ambrosi, Elia, Bricalli, Alessandro, Wang, Wei, Ielmini, Daniele

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In-Memory PageRank Accelerator With a Cross-Point Array of Resistive Memories von Sun, Zhong, Ambrosi, Elia, Pedretti, Giacomo, Bricalli, Alessandro, Ielmini, Daniele

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One-step regression and classification with cross-point resistive memory arrays von Sun, Zhong, Pedretti, Giacomo, Bricalli, Alessandro, Ielmini, Daniele

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Time Complexity of In-Memory Solution of Linear Systems von Sun, Zhong, Pedretti, Giacomo, Mannocci, Piergiulio, Ambrosi, Elia, Bricalli, Alessandro, Ielmini, Daniele

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Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses von Wang, Wei, Pedretti, Giacomo, Milo, Valerio, Carboni, Roberto, Calderoni, Alessandro, Ramaswamy, Nirmal, Spinelli, Alessandro S, Ielmini, Daniele

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Redundancy and Analog Slicing for Precise In-Memory Machine Learning-Part I: Programming Techniques von Pedretti, Giacomo, Mannocci, Piergiulio, Li, Can, Sun, Zhong, Strachan, John Paul, Ielmini, Daniele

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A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors von Mannocci, Piergiulio, Pedretti, Giacomo, Giannone, Elisabetta, Melacarne, Enrico, Sun, Zhong, Ielmini, Daniele

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