Biography:Forrest Iandola

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Forrest Iandola
NationalityUnited States of America
Alma materUniversity of Illinois at Urbana–Champaign (B.S.)
University of California, Berkeley (PhD)
Spouse(s)Steena Monteiro [1]
Scientific career
FieldsComputer Science
ThesisExploring the Design Space of Deep Convolutional Neural Networks at Large Scale (2016)
Doctoral advisorKurt 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. ↑ 1.0 1.1 "Annual Report, 2015". http://www.npcovenant.org/wp-content/uploads/2012/12/2015-Annual-Report-1.pdf. 
  2. ↑ "DeepScale Raises $15 Million for Perception Software for Autonomous Vehicles - FutureCar.com". http://www.futurecar.com/article-2106-1.html. 
  3. ↑ "University of Illinois | 150 Years". https://uofi150.news-gazette.com/people/forrest-iandola. 
  4. ↑ 4.0 4.1 "Commencement of the Class of 2008". https://digitalcommons.imsa.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=1020&context=commence_ceremony. 
  5. ↑ "Several local students graduate from U of I Urbana- Champaign". http://www.journalstandard.com/article/20120820/NEWS/308209939. 
  6. ↑ Eade, Alyssa. "2 Illinois CS Students Win Honorable Mentions for CRA Outstanding Undergraduate Researchers Award". https://cs.illinois.edu/news/2-illinois-cs-students-win-honorable-mentions-cra-outstanding-undergraduate-researchers-award. 
  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". https://scholar.google.com/citations?user=y1lVpBEAAAAJ. 
  9. ↑ Ganesh, Abhinav. "Deep Learning Reading Group: SqueezeNet". KDnuggets. https://www.kdnuggets.com/2016/09/deep-learning-reading-group-squeezenet.html. 
  10. ↑ Inkawhich, Nathan. "SqueezeNet Model Quickload Tutorial". https://github.com/caffe2/caffe2/blob/c63037fd27493d0db72debd8202776124fa46cb8/caffe2/python/tutorials/Model_Quickload.ipynb. 
  11. ↑ "squeezenet.py". https://github.com/apache/incubator-mxnet/blob/6dcb0ebb39558d83df4d9fd0338a46f775b94bd6/python/mxnet/gluon/model_zoo/vision/squeezenet.py. 
  12. ↑ "CoreML". https://developer.apple.com/machine-learning/. 
  13. ↑ Chirgwin, Richard (2017-09-26). "Baidu puts open source deep learning into smartphones". The Register. https://www.theregister.co.uk/2017/09/26/baidu_mobile_deep_learning/. 
  14. ↑ Bush, Steve (2018-01-25). "Neural network SDK for PowerVR GPUs". Electronics Weekly. https://www.electronicsweekly.com/news/products/software-products/neural-network-sdk-powervr-gpus-2018-01/. 
  15. ↑ Boughton, Paul (2017-08-28). "Deep learning computer vision algorithms ported to processor IP". Engineer Live. https://www.engineerlive.com/content/deep-learning-computer-vision-algorithms-ported-processor-ip. 
  16. ↑ "Deep Learning with INT8 Optimization on Xilinx Devices". Embedded Vision Alliance. https://www.embedded-vision.com/platinum-members/xilinx/embedded-vision-training/documents/pages/deep-learning-int8-optimization-xil. 
  17. ↑ 17.0 17.1 "DeepScale". https://www.crunchbase.com/organization/deepscale. 
  18. ↑ Kolodny, Lora (2017-03-21). "DeepScale raises $3 million for perception AI to make self-driving cars safe". TechCrunch. https://techcrunch.com/2017/03/21/deepscale-raises-3-million-for-perception-ai-to-make-self-driving-cars-safe/. 
  19. ↑ "DeepScale attracts $15M investment to advance automated vehicle perception". Safe Car News. 2018-04-04. http://safecarnews.com/deepscale-attracts-15m-investment-to-advance-automated-vehicle-perception/. 
  20. ↑ Schott, Paul (2018-04-04). "Point72 invests in artificial-intelligence firm". Stamford Advocate. https://www.stamfordadvocate.com/business/article/Point72-invests-in-artificial-intelligence-firm-12805642.php. 
  21. ↑ Orlowski, Ralph (2016-06-28). "Siemens Will Put $1.1 Billion Into New Startups Unit". Fortune. http://fortune.com/2016/06/28/siemens-invests-in-new-startups-unit/. 
  22. ↑ Yoshida, Junko (2018-01-09). "Visteon Works with DNN Vanguard DeepScale". EE Times. https://www.eetimes.com/document.asp?doc_id=1332816. 
  23. ↑ Yoshida, Junko (2018-04-03). "Are We Short of Deep Learning Experts?". EE Times. https://www.eetimes.com/document.asp?doc_id=1333147. 
  24. ↑ "National Defense Science and Engineering Graduate (NDSEG) Fellowship". https://npre.illinois.edu/academics/scholarship/national-defense-science-and-engineering-graduate-ndseg-fellowship. 
  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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