New Preprint on Quantization-Aware Training with SNNs
We have a new preprint along with code that simplifies the process of training quantized spiking neural networks in snnTorch. We propose...
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jasoneshraghian
- Nov 30, 2021
- 1 min
snnTorch at Facebook's PyTorch 2021 Dev Day
We are presenting snnTorch at the PyTorch Dev Day on 1/2 Dec 2021! We will demonstrate some of the current capabilities of SNNs, and chat...
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jasoneshraghian
- Sep 29, 2021
- 1 min
New Preprint: Training Spiking Neural Networks Using Lessons From Deep Learning
How can we train biologically plausible Spiking Neural Networks with the Deep Learning hammer? Our perspective/tutorial/review aims to...
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jasoneshraghian
- Aug 17, 2021
- 1 min
ICONS Tutorial: Deep Learning with snnTorch
The tutorial I gave at the International Conference on Neuromorphic Systems on training spiking neural networks using modern deep...
117 views3 comments
jasoneshraghian
- Jun 13, 2021
- 1 min
Fulbright Future Fellowship
I was awarded a Fulbright Future Fellowship that will let me stay in limbo between University of Michigan/Western Australia for a while...
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jasoneshraghian
- Jun 9, 2021
- 1 min
A New Approach to SRAM PUFs
Building secure hardware is now more important than ever, and we've just published a new approach to building silicon-based physically...
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jasoneshraghian
- May 1, 2021
- 1 min
Forrest Research Fellowship
This week, I returned to the University of Western Australia as a Forrest Research Fellow in a joint appointment between the Schools of...
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jasoneshraghian
- Feb 25, 2021
- 1 min
Building Better AI Hardware at IEEE ISCAS 2021
We had 4 papers accepted for IEEE ISCAS 2021! 2 of these are led by the first students I have supervised, so this is a special moment....
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jasoneshraghian
- Jan 20, 2021
- 1 min
"AI Reflections in 2020" Published in Nature Machine Intelligence
Image credit: : AAUB/DigitalVisionVectors/Getty Nature Machine Intelligence invited me to contribute to their Feature Article, "AI...
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jasoneshraghian
- Dec 24, 2020
- 1 min
Best Live Demonstration Award at the IEEE Conference on Electronic Circuits and Systems 2020
Our retina-controlled upper-limb prosthesis system won the Best Live Demonstration Award at the IEEE International Conference on...
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jasoneshraghian
- Nov 15, 2020
- 1 min
Hardware accelerators for AI-driven healthcare
We published our perspective on integrating neural net accelerators into the clinical & outpatient workflow in the IEEE Transactions on...
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jasoneshraghian
- Sep 10, 2020
- 1 min
IEEE ECCTD 2020 Keynote Address: CMOS-Memristor Nanoelectronics for Neuromorphic Computing
Sung-Mo Kang (U.C. Santa Cruz) and I delivered the keynote address for the IEEE European Conference on Circuit Theory and Design titled...
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jasoneshraghian
- Mar 20, 2020
- 1 min
Into the latent space
One neural network is good for recognising patterns, but two are great for creating them. Nature Machine Intelligence did a neat write-up...
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jasoneshraghian
- Mar 12, 2020
- 1 min
"Human ownership of artificial creativity" Published in Nature Machine Intelligence
I've published my research on legal ownership of artificially generated datasets & artwork in Nature Machine Intelligence. Image trained...
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jasoneshraghian
- May 30, 2019
- 1 min
Best Paper Award: 2019 IEEE Transaction on VLSI Circuits and Systems
Our paper titled "Neuromorphic Vision RRAM-CMOS Hybrid Architecture" was awarded the 2019 Best Paper Award for the IEEE Transactions on...
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jasoneshraghian
- Mar 20, 2019
- 1 min
Best Paper Award at the IEEE Conference on Artificial Intelligence Circuits and Systems 2019
Our work titled "Analog Weights in ReRAM DNN Accelerators" has been awarded as Best Paper at the 2019 IEEE International Conference on...
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