# March 2023

TensorFlow Newsletter March 2023


Learn the latest in TF 2.12, save the date for Google I/O, and explore the latest AI research.

|---|
| |---| | |---| | [![](https://services.google.com/fh/files/emails/logo_6x.png)](https://www.tensorflow.org/subscribe/2023/03#) | | | |---| | |---| | |---| | TensorFlow 2.12 is here | | | |---| | |---| | |---| | |---| | Discover improvements and changes in the new release, including the new Keras model saving and exporting format, the keras.utils.FeatureSpace utility, TensorFlow python 3.11 wheels and much more. | | | |---| | [Read the blog](https://blog.tensorflow.org/2023/03/whats-new-in-tensorflow-212.html) | | | | | | |---| |   | | | |---| | |---| | |---| | |---| | |---| | |---| | |---| | Create production-ready decision forest models | | TensorFlow Decision Forests is now included in the official **TensorFlow Serving** release and in Google Cloud's Vertex AI. Discover new features and explore ways you can use decision forest algorithms on structured data such as through the [Simple ML for Sheets](https://www.tensorflow.org/decision_forests/simple_ml_for_sheets) add-on. | | |---| | |---| | |---| | |---|---| | |---| | [Read the blog](https://blog.tensorflow.org/2023/02/updates-tensorflow-decision-forests-is-production-ready.html) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://blog.tensorflow.org/2023/02/updates-tensorflow-decision-forests-is-production-ready.html) | | | | | | | | | | | |---| | |---| | |---| | |---| | Isolated sign language recognition challenge on Kaggle | | Join a competition to build a TensorFlow Lite model for accurate, real-time sign language recognition and help reduce the risk of language deprivation for deaf children. | | |---| | |---| | |---| | |---|---| | |---| | [View competition](https://www.kaggle.com/competitions/asl-signs) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://www.kaggle.com/competitions/asl-signs) | | | | | | | | | | | |---| | |---| | |---| | |---| | [![](https://www.gstatic.com/growthlab/api/7eatKP9xzY44Jf6i4V1tfoZ07i2HeRcsIC4O387D.jpg)](https://www.tensorflow.org/subscribe/2023/03#) | | Build search into your mobile app with TensorFlow Lite | | Learn how you can use the power of [Scalable Nearest Neighbors (ScaNN)](https://github.com/google-research/google-research/tree/master/scann) for semantic search or smart reply in your app using **TensorFlow Lite Model Maker** . | | |---| | |---| | |---| | |---|---| | |---| | [Explore tutorial](https://www.tensorflow.org/lite/models/modify/model_maker/text_searcher) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://www.tensorflow.org/lite/models/modify/model_maker/text_searcher) | | | | | | | | | | | |---| | |---| | |---| | |---| | New quantized RetinaNet+MobileNetV2, MOSAIC, and MobileBERT models | | Quantization-aware training (QAT) is critical to many on-device use cases, enabling lower latency or smaller model sizes with minimal loss of accuracy. Learn about the new state-of-the-art quantized models in the [TensorFlow Model Garden](https://github.com/tensorflow/models/tree/master/official/projects) for object detection, semantic segmentation, and NLP tasks. | | |---| | |---| | |---| | |---|---| | |---| | [Read the blog](https://blog.tensorflow.org/2022/12/new-state-of-art-quantized-models-added-in-tf-model-garden.html) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://blog.tensorflow.org/2022/12/new-state-of-art-quantized-models-added-in-tf-model-garden.html) | | | | | | | | | | | |---| | |---| | |---| | |---| | [![](https://www.gstatic.com/growthlab/api/ISFBfEjMwT1F89qdgk6pKaYYSO4VE7VeBt6Y28Um.jpg)](https://www.tensorflow.org/subscribe/2023/03#) | | Extend TFX pipelines with community components | | TFX standard components provide proven functionality for production ML workflows. Explore custom components to add functionality for common MLOps patterns, contributed by the [TFX-Addons](https://github.com/tensorflow/tfx-addons) community of companies and developers. | | |---| | |---| | |---| | |---|---| | |---| | [Read the blog](https://blog.tensorflow.org/2023/02/extend-your-tfx-pipeline-with-tfx-addons.html) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://blog.tensorflow.org/2023/02/extend-your-tfx-pipeline-with-tfx-addons.html) | | | | | | | | | | | |---| | |---| | |---| | |---| | A look back on 2022 with Google Research | | From algorithms to ML infrastructure and computer systems, read about all of the cutting-edge advances Google Research made in 2022. Discover the potential benefit in real-world applications and how you can use these technologies in TensorFlow. | | |---| | |---| | |---| | |---|---| | |---| | [Learn about algorithmic advances](https://ai.googleblog.com/2023/02/google-research-2022-beyond-algorithms.html) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://ai.googleblog.com/2023/02/google-research-2022-beyond-algorithms.html) | | | | | | | |---| | |---| | |---| | |---|---| | |---| | [Learn about computer systems](https://ai.googleblog.com/2023/02/google-research-2022-beyond-ml-computer.html) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://ai.googleblog.com/2023/02/google-research-2022-beyond-ml-computer.html) | | | | [![](https://www.gstatic.com/growthlab/api/5soSpF7u4x9kCGSjSCFKeGxqrBv0iXeg4sEZvc2Y.jpg)](https://www.tensorflow.org/subscribe/2023/03#) | | Save the date for Google I/O 2023! | | Be the first to learn about the latest solutions, products, and technologies that help you work smarter and simplify your development workflow. | | |---| | |---| | |---| | |---|---| | |---| | [Register now](https://io.google/2023/?utm_source=newsletter&utm_medium=email&utm_campaign=march_tf&utm_content) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://io.google/2023/?utm_source=newsletter&utm_medium=email&utm_campaign=march_tf&utm_content) | | | | | | | | | | | | | | | | | |---| |   | | | |---| |   | | | |---| | ![](https://www.gstatic.com/gumdrop/files/spacer-11.gif) | | Stay Connected | | |---|---|---|---|---|---|---|---|---| | [![](https://www.gstatic.com/growthlab/api/e7WEFvQxwbiFjhuJkQsF5Fq09BSs8t0t7zjVc2ZZ.png)](https://blog.tensorflow.org) |   | [![](https://www.gstatic.com/growthlab/api/3oLbQMNQ8xdPTrZaFXgbpypikCrz1cifbZnJ7hYv.png)](https://github.com/tensorflow) |   | [![](https://www.gstatic.com/growthlab/api/WyYA2MSf4Sm1GSPGC3H8XppkwH31kkTlwMPlH0Nh.png)](https://twitter.com/tensorflow) |   | [![](https://www.gstatic.com/growthlab/api/Hmw6zspJ6zRcW9dalh8m4Yztyv80TMDVsycNLpCi.png)](https://www.youtube.com/tensorflow) |   | [![l](https://www.gstatic.com/growthlab/api/o2mjGQiE1CeSDhViQ9I47utHTpyx929ckrYzUOoR.png)](https://discuss.tensorflow.org) | | | |---| | |---| | ![](https://www.gstatic.com/gumdrop/files/spacer-11.gif) | | |---| | © 2023 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043 | | | | | | | |