Forrest N. Iandola
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
[edit]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
[edit]- ^ "Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale | EECS at UC Berkeley".
- ^ Niedermeyer, Edward (Oct 1, 2019). "Tesla Beefs Up Autonomy Effort With DeepScale Acqui-Hire". The Drive.
- ^ Kolodny, Lora (Oct 1, 2019). "Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars". CNBC.
- ^ Lee, Timothy B. (Oct 2, 2019). "Tesla just bought an AI startup to improve Autopilot—here's what it does". Ars Technica. Retrieved Jul 8, 2020.
- ^ Johnson, Khari (June 23, 2020). "SqueezeBERT promises faster mobile NLP while maintaining BERT levels of accuracy". VentureBeat.
- ^ "I've joined Meta as an AI Research Scientist!". X (formerly Twitter). Retrieved 2023-11-28.
- ^ Chang, Ernie (Nov 1, 2023). "In-Context Prompt Editing For Conditional Audio Generation". arXiv:2311.00895 [cs.SD].
Further reading
[edit]- Ferris, Dacia J. (Jul 7, 2020). "Tesla's Neural Network adaptability to hardware highlighted in new patent application". Teslarati. Retrieved Jul 8, 2020.
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