Sunny talks to Dr Jennifer Hasler of Georgia Tech, best known for her work with field programmable analog arrays (FPAAs). She’s been developing this analog technology to run spiking neural networks for more than two decades and is now looking to make that technology more accessible to the wider community through her group’s new Python-based analog synthesis tools. After the interview, discussion follows with Giulia and Ralph.
Articles and Papers
- GitHub: Analog Synthesis for High Level Systems (ASHES)
- Low power dendritic computation for wordspotting
- Energy-efficient programable analog computing
- ASHES 1.5: Analog Computing Synthesis for FPAAs and ASICs
From the discussion
- Parallel networks that learn to pronounce English text
- Adaptive floating-gate circuit enabled large-scale FPAA
- Large-scale field-programmable analog arrays
Episode Credits
Producer/Writer: Sunny Bains
Co-hosts: Sunny Bains and Giulia D’Angelo
Editor: Rose Gotto
Audio Production: Taylor Marvin, Coupe Studios Music and Sound Design
Music: 3 of Diamonds by Matt Harris
For EETimes.com
This episode is produced in conjunction with EETimes. Podcast reproduced with permission.
