AI and Machine Learning @ I/O Recap
Google Article
AI and Machine Learning @ I/O Recap

Posted by TensorFlow Team Google I/O 2022 was a major milestone in the evolution of AI and Machine Learning for developers. We’re really excited about the potential for developers using our technologies and Machine Learning to build intelligent solutions, and we believe that 2022 is the year when AI and ML become part of every developer’s toolbox. At the I/O keynotes we showed our fully open sou…

Using Machine Learning to Help Protect the Great Barrier Reef in Partnership with Australia’s CSIRO
Google Article
Community
Using Machine Learning to Help Protect the Great Barrier Reef in Partnership with Australia’s CSIRO

Posted by Megha Malpani, Google Product Manager and Ard Oerlemans, Google Software Engineer Coral reefs are some of the most diverse and important ecosystems in the world, both for marine life and society more broadly. Not only are healthy reefs critical to fisheries and food security, they also protect coastlines from storm surge, support tourism-based economies, and advance drug discovery resea…

On-device Text-to-Image Search with TensorFlow Lite Searcher Library
Google Article
TensorFlow Lite
On-device Text-to-Image Search with TensorFlow Lite Searcher Library

Posted by Zonglin Li, Lu Wang, Maxime Brénon, and Yuqi Li, Software Engineers Today, we're excited to announce a new on-device embedding-based search library that allows you to quickly find similar images, text or audio from millions of data samples in a few milliseconds. It works by using a model to embed the search query into a high-dimensional vector representing the semantic meaning of …

Portrait Depth API: Turning a Single Image into a 3D Photo with TensorFlow.js
Google Article
TensorFlow.js
Portrait Depth API: Turning a Single Image into a 3D Photo with TensorFlow.js

Posted by Ruofei Du, Yinda Zhang, Ahmed Sabie, Jason Mayes, Google. A depth map is essentially an image (or image channel) that contains information relating to the distance of the surfaces of objects in the scene from a given viewpoint (in this case, the camera itself) for every pixel in that image. Depth maps are a fundamental building block for a variety of computer graphics and computer visio…

Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development
Google Article
Community · TFX
Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development

Posted by Ukjae Jeong, Gyoung-yoon Yoo, and Myeonghyeon Song from Karrot Karrot (the global service of Danggeun Market in Korea) is a local community service app that connects neighbors based on a secondhand marketplace. Danggeun Market was launched in 2015, and over 23 million people in Korea are using Danggeun Market in their local communities. Currently, Karrot is operated in 440 local communit…

Video Classification on Edge Devices with TensorFlow Lite and MoViNet
Google Article
TensorFlow Lite
Video Classification on Edge Devices with TensorFlow Lite and MoViNet

Posted by Dan Kondratyuk, Liangzhe Yuan, Google Research and Khanh LeViet, TensorFlow Developer Relations

How to migrate from BoostedTrees Estimators to TensorFlow Decision Forests
Google Article
TensorFlow Core
How to migrate from BoostedTrees Estimators to TensorFlow Decision Forests

Posted by Mathieu Guillame-Bert and Josh Gordon for the TensorFlow team

How LinkedIn Personalized Performance for Millions of Members using Tensorflow.js
Community · TensorFlow.js
How LinkedIn Personalized Performance for Millions of Members using Tensorflow.js

A guest post by LinkedInMark Pascual, Sr. Staff Engineer Nitin Pasumarthy, Staff Engineer

Intro mPOD DxTrack: A low-cost healthcare device using TensorFlow Lite Micro
Community
Intro mPOD DxTrack: A low-cost healthcare device using TensorFlow Lite Micro

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.

Accelerating TensorFlow Lite Micro on Cadence Audio Digital Signal Processors
Google Article
TensorFlow Lite · tinyML
Accelerating TensorFlow Lite Micro on Cadence Audio Digital Signal Processors

Posted by Raj Pawate (Cadence) and Advait Jain (Google)

Highlights from TensorFlow’s 2021 exploreCSR awards
Google Article
Community
Highlights from TensorFlow’s 2021 exploreCSR awards

Posted by Josh Gordon, Jocelyn Becker, and Sloan Davis for the TensorFlow team

Boost your model's accuracy using self-supervised learning with TensorFlow Similarity
Google Article
TensorFlow Core
Boost your model's accuracy using self-supervised learning with TensorFlow Similarity

Posted by Elie Bursztein and Owen Vallis, Google

TFRT: A Progress Update
Google Article
TensorFlow Core
TFRT: A Progress Update

Posted by Mingsheng Hong, TFRT Tech Lead/Manager & Eric Johnson, TFRT Product Manager

Body Segmentation with MediaPipe and TensorFlow.js
Google Article
TensorFlow.js
Body Segmentation with MediaPipe and TensorFlow.js

Posted by Ivan Grishchenko, Valentin Bazarevsky, Ahmed Sabie, Jason Mayes, Google With the rise in interest around health and fitness, we have seen a growing number of TensorFlow.js users take their first steps in 2021 with our existing body related ML models, such as face mesh, body pose, and hand pose estimation. Today we are launching two new highly optimized body segmentation models that ar…