top of page
Search

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...
jasoneshraghian
Feb 18, 20221 min read
121 views
9 comments


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...
jasoneshraghian
Nov 30, 20211 min read
102 views
3 comments

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...
jasoneshraghian
Sep 29, 20211 min read
318 views
1 comment

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...
jasoneshraghian
Aug 17, 20211 min read
142 views
7 comments

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...
jasoneshraghian
Jun 13, 20211 min read
55 views
0 comments

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...
jasoneshraghian
Jun 9, 20211 min read
26 views
0 comments


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...
jasoneshraghian
May 1, 20211 min read
34 views
0 comments

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....
jasoneshraghian
Feb 25, 20211 min read
48 views
0 comments

"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...
jasoneshraghian
Jan 20, 20211 min read
38 views
0 comments


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...
jasoneshraghian
Dec 24, 20201 min read
52 views
0 comments


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...
jasoneshraghian
Nov 15, 20201 min read
34 views
0 comments


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...
jasoneshraghian
Sep 10, 20201 min read
33 views
0 comments

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...
jasoneshraghian
Mar 20, 20201 min read
57 views
10 comments


"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...
jasoneshraghian
Mar 12, 20201 min read
47 views
0 comments


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...
jasoneshraghian
May 30, 20191 min read
40 views
0 comments


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...
jasoneshraghian
Mar 20, 20191 min read
54 views
0 comments
bottom of page