The TensorFlow roadmap for 2023 and beyond

Arm is making embedded ML more accessible with Arm Virtual Hardware (AVH). AVH offers a platform to test TFLM models without needing physical hardware

Intel and Google co-architected the TensorFlow PluggableDevice mechanism to enable TensorFlow models on Data Center GPU Flex Series.

Meet Ryan Eder, Founder and CEO of IncludeHealth, who’s changing the medical industry by making it more accessible using Web ML and TensorFlow.js by delivering an AI-powered platform directly to patients for at-home physical therapy treatments using a regular…

Was originally meant to be satellite segmentation but 🤷 I think this is cooler anyway.

In this episode we're going to try to build AND deploy a machine learning Cancer Segmentation API using Python, Tensorflow, FastAPI and Heroku...all in 15 minutes.
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We’re excited to announce that our Women in Machine Learning Symposium is back for the second year in a row! You’re invited to join us virtually

TensorFlow 2.11 has been released! Let's take a look at all the new features.

Design choices made by the Hugging Face team to bring in the power of XLA in the TensorFlow text generation models to achieve ~100x speed up

This is an in-depth open-source guide that uses tinyML on an Arm Cortex-M based device to create a dedicated input device.

Hubble’s findings showed that the Universe is expanding. Here are a few examples of how studying the sky can give us some answers about the universe.

We are launching a unified page on tensorflow.org that gathers all the resources for creating powerful recommendation systems and provides a guided pa

The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.

The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.

Learn more about new SOTA models optimized using QAT in object detection, semantic segmentation, and natural language processing.

Guest Post by Intel: Devs can now accelerate their current FP32 models using bfloat16 and integer 8-bit precision on 4th Gen Xeon Scalable processors.

Looking into the future of retail — including AI that can help see what's on store shelves.

TFX enables ML practitioners to iterate ML reliable workflows faster. This blog post discusses building a Semantic Segmentation pipeline with TFX.

Build your own models that can process video or three-dimensional data (such as MRI scans) in a memory-efficient manner using TensorFlow

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts ...

We’re on a journey to advance and democratize artificial intelligence through open source and open science.