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Forrest N. Iandola

From Wikipedia, the free encyclopedia
Forrest N. Iandola
NationalityAmerican
Alma materUC Berkeley
Scientific career
FieldsComputer science
InstitutionsTesla, Meta

Forrest N. Iandola is an American computer scientist specializing in efficient AI.

Career

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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

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  1. ^ "Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale | EECS at UC Berkeley".
  2. ^ Niedermeyer, Edward (Oct 1, 2019). "Tesla Beefs Up Autonomy Effort With DeepScale Acqui-Hire". The Drive.
  3. ^ Kolodny, Lora (Oct 1, 2019). "Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars". CNBC.
  4. ^ 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.
  5. ^ Johnson, Khari (June 23, 2020). "SqueezeBERT promises faster mobile NLP while maintaining BERT levels of accuracy". VentureBeat.
  6. ^ "I've joined Meta as an AI Research Scientist!". X (formerly Twitter). Retrieved 2023-11-28.
  7. ^ Chang, Ernie (Nov 1, 2023). "In-Context Prompt Editing For Conditional Audio Generation". arXiv:2311.00895 [cs.SD].

Further reading

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