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June 27, 2022 — Posted by Laurence Moroney and Josh Gordon for the TensorFlow team
June 15, 2022 — Posted by Alan Kelly, Software Engineer
June 09, 2022 — Posted by Jaehong Kim, Rino Lee, and Fan Yang, Software Engineers
June 07, 2022 — A guest post by Charles Gaillard, Mindee
June 06, 2022 — Posted by Zhi An Ng and Marat Dukhan, Google
May 25, 2022 — Posted by Nikita Namjoshi, Google Cloud Developer Advocate
May 23, 2022 — Posted by Hugo Zanini, Data Product Manager
May 18, 2022 — Posted by Goldie Gadde and Douglas Yarrington for the TensorFlow team
May 17, 2022 — Posted by Scott Main, AIY Projects and Coral
May 11, 2022 — Posted by Megha Malpani, Google Product Manager and Ard Oerlemans, Google Software Engineer
May 11, 2022 — Posted by Zonglin Li, Lu Wang, Maxime Brénon, and Yuqi Li, Software Engineers
May 10, 2022 — Posted by Ruofei Du, Yinda Zhang, Ahmed Sabie, Jason Mayes, Google.
May 06, 2022 — Posted by Ukjae Jeong, Gyoung-yoon Yoo, and Myeonghyeon Song from Karrot
April 14, 2022 — Posted by Dan Kondratyuk, Liangzhe Yuan, Google Research and Khanh LeViet, TensorFlow Developer Relations
April 04, 2022 — Posted by Mathieu Guillame-Bert and Josh Gordon for the TensorFlow team
March 29, 2022 — A guest post by LinkedInMark Pascual, Sr. Staff Engineer Nitin Pasumarthy, Staff Engineer
March 28, 2022 — A guest post by Jeffrey Ly, CEO & Joanna Ashby, CMO of mPOD, Inc. mPOD is a NIH-funded pre-seed startup headquartered out of Johnson & Johnson’s Innovation (JLABS) in New York City. In this article, we’d like to share with you a hardware device we have developed independently at mPOD leveraging TensorFlow Lite Micro (TFLM) as a core technology, called DxTrack.
