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Gina Adam (Assoc)

Publications

A System for Validating Resistive Neural Network Prototypes

Author(s)
Brian Hoskins, Mitchell Fream, Matthew Daniels, Jonathan Goodwill, Advait Madhavan, Jabez J. McClelland, Osama Yousuf, Gina C. Adam, Wen Ma, Muqing Liu, Rasmus Madsen, Martin Lueker-Boden
Building prototypes of heterogeneous hardware systems based on emerging electronic, magnetic, and photonic devices is an increasingly important area of research...

Streaming Batch Gradient Tracking for Neural Network Training

Author(s)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Faster and more energy efficient hardware accelerators are critical for machine learning on very large datasets. The energy cost of performing vector-matrix...
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Patents (2018-Present)

The matrix decomposition system block.

Quasi-Systolic Processor and Quasi-Systolic Array

NIST Inventors
Matthew Daniels , Mark D. Stiles , Advait Madhavan and Gina Adam
The invention is a computer architecture that efficiently calculates a weight matrix update for an AI model, especially ones designed to be implemented in hardware neural networks. Our architecture uses an approximation algorithm to do this calculation with less memory overhead. The architecture
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Created June 5, 2019, Updated October 16, 2026
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