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Open Source Brain-Inspired Neuromorphic Software and Hardware
--client
fossi
--show
latch_2023
--room henley1010 15236 --force
Next: 10 Gdsfactory, an Open Source python flow for circuit design, verification and validation
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Marks
Author(s):
Jason Eshraghian
Location
UCSB Henley Hall room 1010
Date
apr Sat 01
Days Raw Files
Start
11:30
First Raw Start
10:37
Duration
00:20:00
Offset
0:52:34
End
11:50
Last Raw End
12:37
Chapters
00:00
0:01:44
0:25:54
Total cuts_time
30 min.
https://www.fossi-foundation.org/latchup/#presentations
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Description:
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The brain is the perfect place to look for inspiration to develop more efficient neural networks. One of the main differences with modern deep learning is that the brain encodes and processes information as spikes rather than continuous, high-precision activations. This presentation will dive into how the open-source ecosystem has been used to develop brain-inspired neuromorphic accelerators, from our development of a Python training library for spiking neural networks (snnTorch, >60,000 downloads), to compiling these next-generation deep learning models on custom ASICs submitted for tape-out in the Sky130 process. The open-source silicon movement has the potential to impact how we adopt principles from neuroscience to improving deep learning and hardware acceleration.
Comment:
production notes
2023-04-01/10_37_26.ts
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vlc ~/Videos/veyepar/fossi/latch_2023/dv/henley1010/2023-04-01/12_07_26.ts :start-time=00.0 --audio-desync=0
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Cut List
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get this:
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2023-04-01/10_37_26.ts
2023-04-01/11_07_26.ts
2023-04-01/11_37_26.ts
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