Forrest N. Iandola Explained

Forrest N. Iandola
Nationality:	American
Fields:	Computer science
Workplaces:	Tesla, Meta
Alma Mater:	UC Berkeley

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]}

Further reading

1. News: Ferris. Dacia J.. Jul 7, 2020. Tesla's Neural Network adaptability to hardware highlighted in new patent application. Teslarati. Jul 8, 2020.

Notes and References

1. Web site: Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale | EECS at UC Berkeley.
2. News: Niedermeyer. Edward. Oct 1, 2019. Tesla Beefs Up Autonomy Effort With DeepScale Acqui-Hire. The Drive.
3. News: Kolodny. Lora. Oct 1, 2019. Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars. CNBC.
4. News: Lee. Timothy B.. Oct 2, 2019. Tesla just bought an AI startup to improve Autopilot—here's what it does. Ars Technica. Jul 8, 2020.
5. News: Johnson. Khari. June 23, 2020. SqueezeBERT promises faster mobile NLP while maintaining BERT levels of accuracy. VentureBeat.
6. Web site: I've joined Meta as an AI Research Scientist! . 2023-11-28 . X (formerly Twitter) . en.
7. Chang . Ernie . Nov 1, 2023 . In-Context Prompt Editing For Conditional Audio Generation . cs.SD . 2311.00895 .