Biography:Forrest N. Iandola
From HandWiki
Short description: American computer scientist
Forrest N. Iandola | |
|---|---|
| Nationality | American |
| Alma mater | UC Berkeley |
| Scientific career | |
| Fields | Computer science |
| Institutions | Tesla, Meta |
Forrest N. Iandola is an American computer scientist specializing in efficient AI.
Career
Iandola earned a PhD in Electrical Engineering and Computer Science from UC Berkeley in 2016, advised by Kurt Keutzer. As part of his dissertation he co-authored SqueezeNet, a deep neural network for image classification that is optimized for smartphones and other mobile devices.[1][2]
Iandola and Keutzer went on to co-found DeepScale. The firm squeezes deep neural networks onto low-cost automotive grade processors for use in driver assistance systems. Tesla acquired DeepScale in 2019.[3][4]
In 2020, he co-authored SqueezeBERT, an efficient neural network for natural language processing.[5] In 2022, he joined Meta as an AI research scientist.[6][7]
References
- ↑ "Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale | EECS at UC Berkeley". https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-207.html.
- ↑ Niedermeyer, Edward (Oct 1, 2019). "Tesla Beefs Up Autonomy Effort With DeepScale Acqui-Hire". The Drive. https://www.thedrive.com/tech/30122/tesla-beefs-up-autonomy-effort-with-deepscale-acqui-hire.
- ↑ Kolodny, Lora (Oct 1, 2019). "Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars". CNBC. https://www.cnbc.com/2019/10/01/tesla-acquiring-deepscale-computer-vision-start-up-for-self-driving.html.
- ↑ Lee, Timothy B. (Oct 2, 2019). "Tesla just bought an AI startup to improve Autopilot—here's what it does". Ars Technica. https://arstechnica.com/cars/2019/10/how-teslas-latest-acquisition-could-accelerate-autopilot-development/.
- ↑ Johnson, Khari (June 23, 2020). "SqueezeBERT promises faster mobile NLP while maintaining BERT levels of accuracy". VentureBeat. https://venturebeat.com/2020/06/23/squeezebert-promises-faster-mobile-nlp-while-maintaining-bert-levels-of-accuracy/.
- ↑ "I've joined Meta as an AI Research Scientist!" (in en). https://twitter.com/fiandola/status/1575545896174899200.
- ↑ Chang, Ernie (Nov 1, 2023). "In-Context Prompt Editing For Conditional Audio Generation". arXiv:2311.00895 [cs.SD].
Further reading
- Ferris, Dacia J. (Jul 7, 2020). "Tesla's Neural Network adaptability to hardware highlighted in new patent application". Teslarati. https://www.teslarati.com/tesla-neural-network-hardware-platform/.
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