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Corey Lammie

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A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing

Feb 12, 2024
Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian

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Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference

Jul 18, 2023
Manuel Le Gallo, Corey Lammie, Julian Buechel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch

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AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing

May 17, 2023
Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smail Niar, Ouarnoughi Hamza, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui

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Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks

Jun 20, 2022
Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov

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Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation

May 13, 2022
Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov

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Navigating Local Minima in Quantized Spiking Neural Networks

Feb 15, 2022
Jason K. Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu

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Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures

Jan 25, 2022
Corey Lammie, Jason K. Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi

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A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images

Sep 30, 2021
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vazquez, Carol A Flavell, Mostafa Rahimi Azghadi

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Memristive Stochastic Computing for Deep Learning Parameter Optimization

Mar 11, 2021
Corey Lammie, Jason K. Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi

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