Forrest Iandola
| Forrest Iandola | |
|---|---|
| Born | |
| 🏳️ Nationality | American |
| 🎓 Alma mater | University of Illinois at Urbana–Champaign (B.S.) University of California, Berkeley (PhD) |
| 💼 Occupation | |
| 👩 Spouse(s) | Steena Monteiro[1] |
Forrest Iandola is an American computer scientist and entrepreneur. While a graduate student at University of California, Berkeley, he developed the SqueezeNet deep neural network. He is the co-founder of DeepScale, a computer vision company that was acquired by Tesla.[3]
Early life and education[edit]
Iandola grew up in Pearl City, Illinois, and he later attended high school at the Illinois Math and Science Academy in Aurora, Illinois.[4][5] He completed a bachelor's degree in computer science at University of Illinois at Urbana-Champaign in 2012.[5][6][7] Following that, he completed a doctoral degree in electrical engineering and computer science at University of California, Berkeley in 2016.[8]
Research[edit]
His research focuses on machine learning and deep neural networks. In 2014, he worked with a group at Microsoft Research to develop deep neural networks that automatically generate captions based on the contents of images.[9][10] In 2015, he co-created DeepLogo, which applies deep neural networks to computer vision based logo recognition.[11][12] In 2016, he co-authored SqueezeNet, a deep neural network designed for mobile and embedded devices.[13][14][15] In 2019, he co-authored SqueezeNAS, which applies neural architecture search to semantic image segmentation.[16][17]
DeepScale[edit]
In September 2015, Iandola co-founded DeepScale with his PhD advisor Kurt Keutzer, and Iandola became the company's CEO.[2] The company develops computer vision technologies for the automotive industry.[18][19] On September 30, 2019, Iandola stated in a post on LinkedIn that he had joined Tesla as a senior staff machine learning scientist, and on October 1, 2019, CNBC stated that Tesla had acquired DeepScale.[3] In the acquisition, DeepScale was reportedly integrated into Tesla Autopilot.[20][21] CNET reported that that Tesla and DeepScale have similar approaches for autonomous driving sensors (focusing on cameras, not lidar), and The Drive reported that SqueezeNAS aligns with Tesla's approach to machine learning.[22][13]
Personal life[edit]
He is married to Dr. Steena Monteiro.[1][23]
References[edit]
- ↑ 1.0 1.1 "Annual Report, 2015" (PDF). North Park Covenant Church. Retrieved 2018-04-07.
- ↑ 2.0 2.1 "DeepScale". Crunchbase. Retrieved 2018-04-07.
- ↑ 3.0 3.1 3.2 Kolodny, Lora (2019-10-01). "Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars". CNBC. Retrieved 2019-10-02.
- ↑ "University of Illinois | 150 Years". The News-Gazette. Retrieved 2018-05-07.
- ↑ 5.0 5.1 "Commencement of the Class of 2008". DigitalCommons@IMSA. 2008-05-31. Retrieved 2018-04-07. Unknown parameter
|url-status=ignored (help) - ↑ "Several local students graduate from U of I Urbana- Champaign". Journal Standard. 2012-08-20. Retrieved 2018-04-07.
- ↑ Eade, Alyssa. "2 Illinois CS Students Win Honorable Mentions for CRA Outstanding Undergraduate Researchers Award". CS@Illinois. Retrieved 2018-04-07.
- ↑ Iandola, Forrest (2016). Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale (Doctorate thesis). Berkeley, CA. Retrieved 2018-04-07.
- ↑ Hachman, John (2014-11-19). "Microsoft, five other groups race toward automated image captioning". PC World. Retrieved 2019-10-16.
- ↑ Fang, Hao; Gupta, Saurabh; Iandola, Forrest; Srivastava, Rupesh; Deng, Li; Dollár, Piotr; Gao, Jianfeng; He, Xiaodong; Mitchell, Margaret; Platt, John C.; Lawrence Zitnick, C.; Zweig, Geoffrey (2014). "From Captions to Visual Concepts and Back". arXiv:1411.4952 [cs.CV].
- ↑ Anderson, Martin (2015-10-09). "What brand logo recognition will mean in the age of social data analytics". The Stack. Archived from the original on 2018-09-06. Retrieved 2019-10-13. Unknown parameter
|url-status=ignored (help) - ↑ Iandola, Forrest N.; Shen, Anting; Gao, Peter; Keutzer, Kurt (2015). "DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer". arXiv:1510.02131 [cs.CV].
- ↑ 13.0 13.1 Niedermeyer, Edward (2019-10-01). "Tesla Beefs Up Autonomy Effort With DeepScale Acqui-Hire". The Drive. Retrieved 2019-11-10.
Progress in computer vision between 2012 and 2016 was largely based on increasing the resources used to run DNNs, leading Iandola and [his PhD advisor Kurt] Keutzer to pursue simplified networks that could perform accurately and with low latency using the limited resources found in embedded systems. The result was a DNN called SqueezeNet, which could recognize images on the ImageNet training library with accuracy comparable to a top-performing (as of 2012) but very large DNN called AlexNet while taking up less than half a megabyte (about 50 times smaller).
Unknown parameter|url-status=ignored (help) - ↑ Bush, Steve (2018-01-25). "Neural network SDK for PowerVR GPUs". Electronics Weekly. Retrieved 2018-04-07.
- ↑ Chirgwin, Richard (2017-09-26). "Baidu puts open source deep learning into smartphones". The Register. Retrieved 2018-04-07.
- ↑ Yoshida, Junko (2019-08-25). "Does Your AI Chip Have Its Own DNN?". EE Times. Retrieved 2019-09-26.
- ↑ Shaw, Albert; Hunter, Daniel; Iandola, Forrest; Sidhu, Sammy (2019). "SqueezeNAS: Fast neural architecture search for faster semantic segmentation". arXiv:1908.01748 [cs.CV].
- ↑ Lee, Timothy B. (2019-10-02). "Tesla just bought an AI startup to improve Autopilot—here's what it does". Ars Technica. Retrieved 2019-11-10.
- ↑ Yoshida, Junko (2018-01-09). "Visteon Works with DNN Vanguard DeepScale". EE Times. Retrieved 2019-12-06.
- ↑ Alvarez, Simon (2019-10-02). "Tesla's DeepScale acquisition is a play for efficient neural networks, faster OTA updates". Teslarati. Retrieved 2019-11-10.
Apart from the startup’s technology that could be used for the company’s Full Self-Driving systems and over-the-air updates, Tesla’s acquisition of DeepScale is an acquisition of the talent that Forrest Iandola has painstakingly gathered over the years.
Unknown parameter|url-status=ignored (help) - ↑ Reisinger, Don (2019-10-02). "Why Tesla Quietly Acquired DeepScale, a Machine Learning Startup That's 'Squeezing' A.I." Fortune. Retrieved 2019-11-25.
...it's apparent that DeepScale's technology will be integrated into Tesla's Autopilot, the self-driving technology the company is currently working on.
- ↑ Szymkowski, Sean (2019-10-02). "Tesla reportedly buys machine-learning startup DeepScale for self-driving car tech". CNET. Retrieved 2019-11-10. Unknown parameter
|url-status=ignored (help) - ↑ 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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