Search Results for author: T. Patrick Xiao

Found 6 papers, 0 papers with code

Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing

no code implementations22 Nov 2021 Thomas Leonard, Samuel Liu, Mahshid Alamdar, Can Cui, Otitoaleke G. Akinola, Lin Xue, T. Patrick Xiao, Joseph S. Friedman, Matthew J. Marinella, Christopher H. Bennett, Jean Anne C. Incorvia

In neuromorphic computing, artificial synapses provide a multi-weight conductance state that is set based on inputs from neurons, analogous to the brain.

On the Accuracy of Analog Neural Network Inference Accelerators

no code implementations3 Sep 2021 T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella

Specialized accelerators have recently garnered attention as a method to reduce the power consumption of neural network inference.

Evaluating complexity and resilience trade-offs in emerging memory inference machines

no code implementations25 Feb 2020 Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone

Neuromorphic-style inference only works well if limited hardware resources are maximized properly, e. g. accuracy continues to scale with parameters and complexity in the face of potential disturbance.

Cannot find the paper you are looking for? You can Submit a new open access paper.