How Google Uses TensorFlow

LiteRT has evolved from its TensorFlow Lite foundation into a universal on-device AI inference framework, now offering production-ready GPU acceleration across six platforms and streamlined NPU int...

Metrax is a high-performance library designed for efficient and robust model evaluation metrics in JAX, addressing the need for standardized metrics during the migration from TensorFlow.

The article introduces Coral NPU, a full-stack, open-source platform designed to enhance Edge AI capabilities on low-power devices.

The article discusses building high-performance data pipelines using Grain, a data loading library for JAX, and ArrayRecord, an efficient file format.

This article provides a comprehensive guide on how to train a GPT-2 model using JAX on TPU, highlighting the ease of leveraging Google TPUs for free.

The article discusses how to use KerasHub for loading model weights from SafeTensors into Keras, enabling flexible end-to-end machine learning workflows across different frameworks like JAX, PyTorc...

The article introduces Keras Recommenders, a new library designed to simplify the creation of state-of-the-art recommendation systems using Keras with JAX, TensorFlow, or PyTorch.

The article announces that Francois Chollet, the creator of Keras, is leaving Google to pursue new opportunities.

The Web AI Summit 2024, hosted by Google on October 18, 2024, focused on client-side AI for developers, showcasing how machine learning models can operate offline in web browsers.

LiteRT, formerly known as TensorFlow Lite, is a high-performance runtime for on-device AI that now supports models from multiple frameworks including PyTorch, JAX, and Keras.

The article discusses optimizing Large Language Model (LLM) inference at the edge using TensorFlow Lite (TFLite) and XNNPack.

The article discusses the release of the Gemma 2 model with 27 billion parameters, highlighting its capabilities in Keras and integration with JAX for efficient model training.

Model Explorer is a powerful graph visualization tool designed to simplify the development and optimization of machine learning models for edge devices.

The article introduces the AI Edge Torch Generative API, designed to enable developers to create high-performance LLMs in PyTorch for deployment on edge devices using the TensorFlow Lite runtime.

Google AI Edge Torch provides a seamless integration from PyTorch to TensorFlow Lite (TFLite), enhancing model coverage and CPU performance for mobile devices.

The article recaps the Google I/O 2024 event, highlighting advancements in AI technologies aimed at making AI accessible for developers.

This article discusses how to publish Keras models on Kaggle and Hugging Face, highlighting the ease of sharing fine-tuned models with the community.

The article introduces Gemma models in Keras, a family of lightweight, state-of-the-art open models that leverage the same technology as the Gemini models.

Season 3 of the People of AI podcast features a lineup of inspiring guests discussing their journeys in the field of Artificial Intelligence.

The Women in Machine Learning Symposium 2023 is set to take place on December 7, 2023, featuring a diverse lineup of female presenters who will discuss advancements in AI/ML and their practical app...

The article introduces a new video series called 'Build with Google AI' aimed at developers interested in leveraging artificial intelligence (AI) in their projects.

The article highlights the achievements and activities of Google Machine Learning communities in the second quarter of 2023, showcasing various training campaigns, community events, and innovative ...

The article highlights the career journeys of several Google Developer Student Club alumni who transitioned to Google Developer Experts.

The article discusses new resources available for developers to build AI solutions using Google AI.

The article highlights the Developer Journey series, showcasing diverse developers and their experiences with Google technologies during the Google I/O 2023 event.

The Google Dev Library Newsletter: 20th Edition highlights innovative projects developed using Google technologies, showcasing contributions to the Google Dev Library platform.

The article discusses the launch of the PaLM API and MakerSuite, tools designed to simplify the development of generative AI applications.

The article highlights the achievements of Machine Learning Google Developer Experts (GDEs) in Q2 2021, showcasing their contributions to the global ML ecosystem through various events, projects, a...

The article provides updates from the Coral platform, focusing on enhancements for building edge ML applications.

The article discusses the advancements made by Coral in 2020 to enhance accessibility to edge AI technologies.

The article discusses the launch of Coral's new M. 2 Accelerator with Dual Edge TPU, designed to enhance machine learning performance in edge computing applications.

The article discusses the latest updates from Coral, including a partnership with balena, new open-source tools, and enhancements to their ML software stack.

The article discusses how technology, particularly AI and edge computing, can help communities build resilience in response to challenges posed by the COVID-19 pandemic.

The article introduces MediaPipe KNIFT, a template-based feature matching system designed to improve image correspondence in computer vision applications.

The article discusses how Alfred Camera utilizes MediaPipe to enhance its smart camera features, particularly focusing on the Moving Object Detection functionality.

The article discusses the implementation of MediaPipe on the web, highlighting how it enables cross-platform multimodal applied ML pipelines through WebAssembly and XNNPack.

The article discusses the new Coral products launched in 2020, highlighting advancements in local AI technology and the introduction of new hardware components.

The article discusses the implementation of object detection and tracking using MediaPipe, a framework for building cross-platform ML pipelines.

The article discusses the release of Mendel Linux 4. 0 for the Coral Dev Board and SoM, highlighting significant updates that enhance performance and stability.

The article discusses the application of machine learning to combat the Fall Armyworm (FAW), a pest that has severely impacted maize crops in Africa.

The article announces the graduation of Coral from beta to a global release, highlighting its applications in various industries such as healthcare and IoT.

The article discusses the latest updates from Coral, including support for post-training quantization, the introduction of a TensorFlow Lite delegate for Edge TPU, and new EfficientNet-EdgeTPU mode...

The article discusses new features of ML Kit that simplify the integration of Machine Learning into applications.

The article discusses recent updates from Coral, including the launch of a new Edge TPU model compiler, enhancements to Mendel OS, and the introduction of new hardware like the Environmental Sensor...

The article introduces Coral, a platform designed for developing intelligent devices with local AI.

The article discusses the introduction of two new AIY Edge TPU boards designed to facilitate on-device machine learning for engineers.

TensorFlow 1. 5 introduces several new features, including Eager Execution, TensorFlow Lite for mobile devices, and GPU acceleration updates.

The article introduces the AIY Vision Kit, a project designed to integrate computer vision capabilities into maker projects using a Raspberry Pi.

The article discusses updates to AIY Projects, highlighting new maker projects, partnerships, and kits aimed at empowering makers with AI technology.