Forrest Iandola

Forrest Iandola
Nationality American
Alma mater

University of Illinois at Urbana–Champaign (B.S.)

University of California, Berkeley (PhD)
Spouse(s) Steena Monteiro [1]
Scientific career
Fields Computer Science
Thesis Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale (2016)
Doctoral advisor Kurt Keutzer

Forrest Iandola is an American computer scientist and entrepreneur. While a graduate student at University of California, Berkeley, Iandola developed SqueezeNet, a lightweight deep neural network that has been deployed on smartphones and other embedded devices. Iandola is the co-founder of DeepScale, which develops energy-efficient deep learning technology for the automotive industry.[2]

Early life and education

Iandola grew up in Pearl City, Illinois, and he later attended high school at the Illinois Math and Science Academy (IMSA) in Aurora, Illinois.[3][4] After graduating from IMSA in 2008, Iandola completed a bachelor's degree in computer science at University of Illinois at Urbana-Champaign (UIUC) in 2012.[4][5][6] Following that, Iandola completed a doctoral degree in electrical engineering and computer science at University of California, Berkeley in 2016.[7]

Research

Forrest Iandola and his doctoral research advisor Kurt Keutzer published a series of papers on improving the speed, memory usage, and energy-efficiency of deep neural networks.[8] In 2016, Iandola, Keutzer, and their collaborators published a deep neural network architecture called SqueezeNet.[9] The idea behind SqueezeNet was to develop a smaller neural network with fewer parameters that can more easily fit into memory and can more easily be transmitted over a computer network. By 2017, SqueezeNet had become one of the standard neural architectures that is released as part of deep learning frameworks such as Caffe2, Apache MXNet, and Apple CoreML.[10][11][12] Companies including Baidu, Imagination Technologies, Synopsys, and Xilinx have demonstrated SqueezeNet running on low-power processing platforms.[13][14][15][16]

DeepScale

Iandola and Keutzer co-founded DeepScale in September 2015.[17] DeepScale is focused on bringing efficient deep learning to Advanced Driver Assistance Systems and Autonomous Vehicles.[18] In 2018, DeepScale raised US $15 Million in Series A funding.[19] The funding round was led by two funds: Point72, which is the personal fund of billionaire investor Steven A. Cohen, and next47, which is a billion-dollar venture fund backed by Siemens.[20][21] DeepScale has strategic partnerships with Tier-1 automotive suppliers including Visteon and Hella Aglaia Mobile Vision GmbH.[22][23] Iandola has been CEO of DeepScale since 2015.[17]

Honors and awards

Iandola received the National Defense Science and Engineering Graduate (NDSEG) Fellowship. This award funded the first three years of Iandola's doctoral research at University of California, Berkeley.[24]

Personal life

Iandola is married to Dr. Steena Monteiro.[1][25]

References

  1. 1 2 "Annual Report, 2015" (PDF). North Park Covenant Church. Retrieved 2018-04-07.
  2. ↑ "DeepScale Raises $15 Million for Perception Software for Autonomous Vehicles - FutureCar.com". www.futurecar.com. Retrieved 2018-04-07.
  3. ↑ "University of Illinois | 150 Years". The News-Gazette. Retrieved 2018-05-07.
  4. 1 2 "Commencement of the Class of 2008". DigitalCommons@IMSA. Retrieved 2018-04-07.
  5. ↑ "Several local students graduate from U of I Urbana- Champaign". Journal Standard. Retrieved 2018-04-07.
  6. ↑ Eade, Alyssa. "2 Illinois CS Students Win Honorable Mentions for CRA Outstanding Undergraduate Researchers Award". CS@Illinois. Retrieved 2018-04-07.
  7. ↑ Iandola, Forrest (2016). Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale (Doctorate thesis). Berkeley, CA. Retrieved 2018-04-07.
  8. ↑ "Forrest Iandola". Google Scholar. Retrieved 2018-04-07.
  9. ↑ Ganesh, Abhinav. "Deep Learning Reading Group: SqueezeNet". KDnuggets. Retrieved 2018-04-07.
  10. ↑ Inkawhich, Nathan. "SqueezeNet Model Quickload Tutorial". GitHub: Caffe2. Retrieved 2018-04-07.
  11. ↑ "squeezenet.py". GitHub: Apache MXNet. Retrieved 2018-04-07.
  12. ↑ "CoreML". Apple. Retrieved 2018-04-10.
  13. ↑ Chirgwin, Richard (2017-09-26). "Baidu puts open source deep learning into smartphones". The Register. Retrieved 2018-04-07.
  14. ↑ Bush, Steve (2018-01-25). "Neural network SDK for PowerVR GPUs". Electronics Weekly. Retrieved 2018-04-07.
  15. ↑ Boughton, Paul (2017-08-28). "Deep learning computer vision algorithms ported to processor IP". Engineer Live. Retrieved 2018-04-07.
  16. ↑ "Deep Learning with INT8 Optimization on Xilinx Devices". Embedded Vision Alliance. Retrieved 2018-04-07.
  17. 1 2 "DeepScale". Crunchbase. Retrieved 2018-04-07.
  18. ↑ Kolodny, Lora (2017-03-21). "DeepScale raises $3 million for perception AI to make self-driving cars safe". TechCrunch. Retrieved 2018-04-07.
  19. ↑ "DeepScale attracts $15M investment to advance automated vehicle perception". Safe Car News. 2018-04-04. Retrieved 2018-04-07.
  20. ↑ Schott, Paul (2018-04-04). "Point72 invests in artificial-intelligence firm". Stamford Advocate. Retrieved 2018-04-07.
  21. ↑ Orlowski, Ralph (2016-06-28). "Siemens Will Put $1.1 Billion Into New Startups Unit". Fortune. Retrieved 2018-04-07.
  22. ↑ Yoshida, Junko (2018-01-09). "Visteon Works with DNN Vanguard DeepScale". EE Times. Retrieved 2018-04-07.
  23. ↑ Yoshida, Junko (2018-04-03). "Are We Short of Deep Learning Experts?". EE Times. Retrieved 2018-04-07.
  24. ↑ "National Defense Science and Engineering Graduate (NDSEG) Fellowship". University of Illinois. Retrieved 2018-04-07.
  25. ↑ Monteiro, Steena (2016). Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads (page vi) (Doctorate thesis). Retrieved 2018-04-07.
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