Forrest N. Iandola
Forrest N. Iandola | |
|---|---|
| Nationality | American |
| Alma mater | UC Berkeley |
| Scientific career | |
| Fields | Computer science |
Forrest N. Iandola is an American computer scientist. He 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 a company called 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]
References
- ^ "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.
Further reading
- Ferris, Dacia J. (Jul 7, 2020). "Tesla's Neural Network adaptability to hardware highlighted in new patent application". Teslarati. Retrieved Jul 8, 2020.
| Authority control databases: Academics |
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