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.
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] His research at Meta includes the efficient AI models EfficientSAM and MobileLLM. [8] [9]