עקוב אחר
Corey Lammie
Corey Lammie
IBM Research - Zurich
כתובת אימייל מאומתת בדומיין ibm.com
כותרת
צוטט על ידי
צוטט על ידי
שנה
Hardware implementation of deep network accelerators towards healthcare and biomedical applications‏
MR Azghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ...‏
IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138-1159, 2020‏
2002020
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.‏
C Lammie, A Olsen, T Carrick, MR Azghadi‏
IEEE Access 7, 51171-51184, 2019‏
1132019
MemTorch: An open-source simulation framework for memristive deep learning systems‏
C Lammie, W Xiang, B Linares-Barranco, MR Azghadi‏
Neurocomputing 485, 124-133, 2022‏
852022
Game changers in science and technology-now and beyond‏
UAK Betz, L Arora, RA Assal, H Azevedo, J Baldwin, MS Becker, ...‏
Technological Forecasting and Social Change 193, 122588, 2023‏
822023
Efficient FPGA implementations of pair and triplet-based STDP for neuromorphic architectures‏
C Lammie, TJ Hamilton, A Van Schaik, MR Azghadi‏
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (4), 1558-1570, 2018‏
542018
Memtorch: A simulation framework for deep memristive cross-bar architectures‏
C Lammie, MR Azghadi‏
2020 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2020‏
412020
Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System‏
C Lammie, T Hamilton, MR Azghadi‏
Circuits and Systems (ISCAS), 2018 IEEE International Symposium on, 1-5, 2018‏
412018
Seizure detection and prediction by parallel memristive convolutional neural networks‏
C Li, C Lammie, X Dong, A Amirsoleimani, MR Azghadi, R Genov‏
IEEE Transactions on Biomedical Circuits and Systems 16 (4), 609-625, 2022‏
352022
Memristive stochastic computing for deep learning parameter optimization‏
C Lammie, JK Eshraghian, WD Lu, MR Azghadi‏
IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1650-1654, 2021‏
352021
Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey‏
T Zhang, MR Azghadi, C Lammie, A Amirsoleimani, R Genov‏
Journal of Neural Engineering 20 (2), 021001, 2023‏
242023
Using the IBM analog in-memory hardware acceleration kit for neural network training and inference‏
M Le Gallo, C Lammie, J Büchel, F Carta, O Fagbohungbe, C Mackin, ...‏
APL Machine Learning 1 (4), 2023‏
232023
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts‏
C Lammie, W Xiang, MR Azghadi‏
Array 13, 100116, 2022‏
212022
Towards memristive deep learning systems for real-time mobile epileptic seizure prediction‏
C Lammie, W Xiang, MR Azghadi‏
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021‏
212021
Navigating local minima in quantized spiking neural networks‏
JK Eshraghian, C Lammie, MR Azghadi, WD Lu‏
2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022‏
202022
Variation-aware binarized memristive networks‏
C Lammie, O Krestinskaya, A James, MR Azghadi‏
2019 26th IEEE international conference on electronics, circuits and systems …, 2019‏
192019
A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images‏
A Saleh, IH Laradji, C Lammie, D Vazquez, CA Flavell, MR Azghadi‏
IEEE Journal of Biomedical and Health Informatics 25 (10), 3865-3873, 2021‏
182021
Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations‏
C Lammie, MR Azghadi, D Ielmini‏
Semiconductor Science and Technology 36 (6), 065003, 2021‏
182021
Stochastic computing for low-power and high-speed deep learning on FPGA‏
C Lammie, MR Azghadi‏
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019‏
182019
Exploiting the state dependency of conductance variations in memristive devices for accurate in-memory computing‏
A Vasilopoulos, J Büchel, B Kersting, C Lammie, K Brew, S Choi, T Philip, ...‏
IEEE Transactions on Electron Devices 70 (12), 6279-6285, 2023‏
102023
Accelerating deterministic and stochastic binarized neural networks on FPGAS using OpenCL‏
C Lammie, W Xiang, MR Azghadi‏
2019 IEEE 62nd International Midwest Symposium on Circuits and Systems …, 2019‏
102019
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מאמרים 1–20