Single-Step Extraction of Transformer Attention With Dual-Gated Memtransistor Crossbars von Jayasinghe, Nethmi, Binte Hashem, Maeesha, Jayasuriya, Dinithi, Rahimifard, Leila, Kang, Min-A, Sangwan, Vinod K., Hersam, Mark C., Ranjan Trivedi, Amit

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ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation von Darabi, Nastaran, Hashem, Maeesha Binte, Pan, Hongyi, Cetin, Ahmet, Gomes, Wilfred, Trivedi, Amit Ranjan

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Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision von Jayasuriya, Dinithi, Darabi, Nastaran, Hashem, Maeesha Binte, Trivedi, Amit Ranjan

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TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products von Hashem, Maeesha Binte, Parpillon, Benjamin, Kumar, Divake, Jayasuria, Dinithi, Trivedi, Amit Ranjan

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ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation von Darabi, Nastaran, Hashem, Maeesha Binte, Pan, Hongyi, Cetin, Ahmet, Gomes, Wilfred, Trivedi, Amit Ranjan

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Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning von Giacomini, Davide, Hashem, Maeesha Binte, Suarez, Jeremiah, Bhunia, Swarup, Trivedi, Amit Ranjan

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Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning von Nasrin, Shamma, Hashem, Maeesha Binte, Darabi, Nastaran, Parpillon, Benjamin, Fahim, Farah, Gomes, Wilfred, Trivedi, Amit Ranjan

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Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision von Jayasuriya, Dinithi, Darabi, Nastaran, Hashem, Maeesha Binte, Trivedi, Amit Ranjan

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TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products von Hashem, Maeesha Binte, Parpillon, Benjamin, Kumar, Divake, Jayasuria, Dinithi, Trivedi, Amit Ranjan

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ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation von Darabi, Nastaran, Hashem, Maeesha Binte, Pan, Hongyi, Cetin, Ahmet, Gomes, Wilfred, Trivedi, Amit Ranjan

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COMPUTE-IN-MEMORY SRAM USING MEMORY-IMMERSED DATA CONVERSION AND MULTIPLICATION-FREE OPERATORS von Nasrin, Shamma, Cetin, Ahmet Enis, Trivedi, Amit Ranjan, Darabi, Nastaran, Shukla, Priyesh, Hashem, Maeesha Binte

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Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning von Giacomini, Davide, Hashem, Maeesha Binte, Suarez, Jeremiah, Bhunia, Swarup, Trivedi, Amit Ranjan

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Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning von Shamma Nasrin, Hashem, Maeesha Binte, Darabi, Nastaran, Parpillon, Benjamin, Fahim, Farah, Gomes, Wilfred, Trivedi, Amit Ranjan

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