Matroid, Inc. Explained

Matroid, Inc.
Founder:Reza Zadeh
Type:Private
Industry:computer vision
Location City:Palo Alto, California

Matroid, Inc. is a computer vision company that offers a platform for creating computer vision models, called detectors, to search visual media for objects, persons, events, emotions, and actions. Matroid provides real-time notifications once the object of interest has been detected, as well as the ability to search past events.[1] [2] [3] [4] [5] [6] [7] [8]

History

Matroid was founded in 2016 by Reza Zadeh, a Stanford professor. Matroid raised $20M in a Series B round led by Energize Ventures to expand into manufacturing and industrial IOT. Previous investors New Enterprise Associates and Intel Capital joined Energize in the round. The new financing brought total funding to $33.5 million.[9] [10] [11] [12] [13]

Product

Once a detector has been trained using the Matroid GUI, it automatically finds the objects of interest in real-time video and archived footage. Users can explore detection information via reports, notifications, or a calendar interface to view events and identify trends. Matroid’s functionality is also exposed via a developer API.

Supported hardware platforms:

Scaled Machine Learning Conference

Matroid annually holds a conference, Scaled Machine Learning, where technical speakers lead discussions about running and scaling machine learning algorithms, artificial intelligence, and computing platforms, such as GPUs, CPUs, TPUs, & the nascent AI chip industry.[14] [15]

Past speakers include Turing Award Winners, creators of Keras, TensorFlow, PyTorch, Caffe, OpenAI, Kubernetes, Horovod, Allen Institute for AI, Apache Spark, Apache Arrow, MLPerf,[16] Matroid, and others.

Announcements

Awards

Notable publications

Diagnosing Glaucoma using 3D CNN

Together with Stanford Hospital and hospitals in Hong Kong, India, and Nepal, Matroid used computer vision in the field of Ophthalmology.[24] The company created a model that learns to predict glaucoma from areas of the eye previously ignored during diagnosis, specifically the Lamina Cribrosa, as no established automated metrics existed for this region yet. Matroid is able to detect glaucoma on OCT scans of the eye, with an F1 score of 96% and similar AUC and accuracy.

FusionNet 3D Object Classification

FusionNet was released as a leading neural networks architecture at the Princeton ModelNet competition.[25]  It is a fusion of three convolutional neural networks, one trained on pixel representation and two networks trained on voxelized objects. It exploits the strength of each component network in order to improve the classification performance. Each component network of FusionNet considers multiple views or orientations of each object before classifying it. While it is intuitive that one can get more information from multiple views of the object than a single view, it is not trivial to put the information together in order to enhance the accuracy. Matroid used information from 20 views for pixel representation and 60 CAD object orientations for voxel representation before predicting the object class. FusionNet outperformed the current leading submission on the Princeton ModelNet leaderboard in both the 10 class and the 40 class datasets.

TensorFlow for Deep Learning

Matroid released a book with co-author Bharath Ramsundar, TensorFlow for Deep Learning.[26] It introduces the fundamentals of machine learning through TensorFlow and explains how to use TensorFlow to build systems capable of detecting objects in images, understanding human text, and predicting the properties of potential medicines.

Notes and References

  1. Web site: If You Can't Impose Self-Discipline, You Can't Be Better Off As A Private Co.. Sandell. Scott. 3 December 2016. Outlook Business.
  2. Web site: Matroid can watch videos and detect anything within them. Mannes. John. 25 March 2017. TechCrunch.
  3. Web site: This AI Company Can Tell You What and Who Appears in Your Videos. Bass. Dina. 25 March 2017. Bloomberg.
  4. Web site: The Vast, Secretive Face Database That Could Instantly ID You In A Crowd. Pasternack. Alex. 30 March 2017. Fast Company.
  5. Tumblr's Porn-Detecting AI Has One Job—and It's Bad at It. Matsakis. Louise. 5 December 2018. Wired.
  6. Web site: Building DIY Human Action Detectors With Matroid. Peng. Tony. 17 August 2018. Synced.
  7. Web site: GPUs Setting the Pace for the Machine Learning Age. Feldman. Michael. 8 April 2018. The Next Platform.
  8. Web site: To Answer Critics, YouTube Tries a New Metric: Responsibility. Mark Bergen. Lucas Shaw. 11 April 2019. Bloomberg.
  9. Web site: A Life's Ambition, Matroid Launches. Martin. Scott. 27 March 2017. The Wall Street Journal.
  10. Web site: Matroid Picks up $10M Series A to Automate Video Stream Monitoring. Mannes. John. 18 September 2017. TechCrunch.
  11. Web site: Matroid Computer Vision Funding Intel. 25 Oct 2017. Scott Amyx.
  12. Web site: Top Artificial Intelligence Influencers to Follow in 2020. Razzaq. Asif. 9 February 2020. Marketechpost.
  13. News: 2020-10-13. Matroid Completes $20 Million Series B Financing to Expand into Manufacturing and Industrial IOT. en. Bloomberg.com. 2020-10-26.
  14. Web site: Scaled Machine Learning Conference. ScaledML. 23 March 2020.
  15. Web site: Highlights of ScaledML 2019. Bauvin. Renaud. 30 April 2019. Criteo AI Lab.
  16. Reddi. Vijay Janapa. Cheng. Christine. Kanter. David. Mattson. Peter. Schmuelling. Guenther. Wu. Carole-Jean. Anderson. Brian. Breughe. Maximilien. Charlebois. Mark. Chou. William. Chukka. Ramesh. 2019-11-06. MLPerf Inference Benchmark. cs.LG. 1911.02549v1. en.
  17. Web site: Matroid Completes $20 Million Series B Financing to Expand into Manufacturing and Industrial IOT. 2020-10-26. finance.yahoo.com. en-US.
  18. Web site: 2020-05-05. Eagle Eye Networks and Matroid Announce Partnership to Provide Matroid's Advanced AI On Eagle Eye Cloud VMS. 2020-06-14. www.een.com. en-US.
  19. Web site: Part I: The Need For Computer Vision in Industrial IOT. Supreet. Oberoj. 7 January 2019. Oracle.
  20. Web site: Part II: Surveying Computer Vision Techniques for Industrial IOT. Supreet. Oberoj. 7 January 2019. Oracle.
  21. Web site: Part III: Integrating Computer Vision with Oracle IOT Applications. Supreet. Oberoj. 7 January 2019. Oracle.
  22. Web site: Cool Vendors in AI Core Technologies. Gartner. en. 2020-03-24.
  23. Web site: SIGKDD Awards. 23 March 2020. SIGKDD.
  24. Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans. Erfan Noury, Suria S. Manni, Robert T. Chang, An Ran Ran, Carol Y. Cheung, Suman S. Thapa, Harsha L. Rao, Srilakshmi Dasari, Mohammed Riyazuddin, Sriharsha Nagaraj, Reza Zadeh. 14 October 2019. eess.IV. 1910.06302.
  25. Hegde. Vishakh. Zadeh. Reza. 2016-07-19. FusionNet: 3D Object Classification Using Multiple Data Representations. cs.CV. 1607.05695v4. en.
  26. Book: Ramsundar, Bharath and Zadeh, Reza Bosagh. TensorFlow for Deep Learning. O'Reilly. 2018. 9781491980446. Sebastopol, CA.

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