The team behind the machine learning model TensorFlow recently released a blog post laying out the ideas for the future of the project. According to the TensorFlow team, the ultimate goal is to provide users with the best machine learning platform possible as well as transform machine learning from a niche craft into a mature … continue reading
Microsoft has announced it is open sourcing its extension of TensorFlow for Windows. The source code for TensorFlow-DirectML is now available on GitHub. “TensorFlow-DirectML broadens the reach of TensorFlow beyond its traditional Graphics Processing Unit (GPU) support, by enabling high-performance training and inferencing of machine learning models on any Windows devices with a DirectX 12-capable … continue reading
Google has announced a new TensorFlow runtime designed to make it easier to build and deploy machine learning models across many different devices. The company explained that ML ecosystems are vastly different than they were 4 or 5 years ago. Today, innovation in ML has led to more complex models and deployment scenarios that require … continue reading
Google has announced the TensorFlow Lite Model Maker. TensorFlow Lite is an open-source deep learning framework for on-device inference. The new tool is designed to adapt machine learning models to datasets with transfer learning. “It wraps the complex machine learning concepts with an intuitive API, so that everyone can get started without any machine learning … continue reading
Google is bringing its open-source platform for machine learning to the enterprise. According to the company, enterprises that want to use TensorFlow struggle because of the higher demands and expectations they have for running ML workloads. TensorFlow Enterprise will feature enterprise-grade support, cloud scale performance and managed services. “Together, these services and products can accelerate … continue reading
Google is making a number of advances in the area of machine learning this week, from the release of TensorFlow 2.0 to updates to its Vision AI portfolio. TensorFlow is Google’s open-source machine learning library. Version 2.0 provides an ecosystem of tools for developers and researchers looking to push the boundaries of machine learning and … continue reading
TensorFlow, the open-source machine learning library for research and production, announced the beta version of its upcoming 2.0 release. According to the team, it has completed renaming and deprecating symbols for the 2.0 API for the beta release. It also includes 2.0 support for Keras features like model subclassing, a simplified API for custom training … continue reading
It has been three years since the open-source machine learning platform TensorFlow was launched, and now the team is announcing new and ambitious plans for the AI library. The TensorFlow Developer Summit took place in Sunnyvale, CA this week, where the TensorFlow team announced the alpha version of Tensor 2.0, TensorFlow.js 1.0, TensorFlow Lite and … continue reading
Founded 10 years ago by a group of MIT scientists, Massachusetts-based biotech firm Ginkgo Bioworks has found great success in leveraging a number of open-source technologies to speed up and automate a wide variety of synthetic biology laboratory tasks. The organization’s main focus is the genetic engineering of compound-producing bacteria for a range of industrial … continue reading
Leading up to the release of TensorFlow 2.0, the team behind the library has revealed some of its plans for the upcoming version of the machine learning framework. According to the TensorFlow team, TensorFlow 2.0 will focus on simplicity and ease of use. “We’re very excited about TensorFlow 2.0 and the changes to come. TensorFlow … continue reading
Snowflake has raised $450 million in equity financing from its existing investors as well as Meritech Capital. “Demand for the data warehouse built for the cloud has exceeded our most optimistic expectations. Our customers love Snowflake and we continue to see unprecedented interest and growth from both new and current customers. To meet that demand, … continue reading
Unsatisfied with the available solutions for connecting the analytics-generating power of their TensorFlow machine learning implementations with the scalable data computation and storage capabilities of their Apache Hadoop clusters, developers at LinkedIn decided that they’d take matters into their own hands with the development of this week’s highlighted project, TonY. “TonY stands for TensorFlow on … continue reading
