Collaborating Authors

You May Already Be Using Google's AI Chips and Not Know It


Last month Google revealed that it's making its own custom artificial intelligence processing chips. Now it turns out that you may already be using them. The chips are called TPUs, short for Tensor Processing Unit, named for Google's open source AI framework, TensorFlow. Today at the 2016 WIRED Business Conference in New York City, the head of Google's cloud business, Diane Greene, said that Google is already using TPUs in more than 100 projects. These include Android's voice recognition system, the "Smart Reply" feature of its Inbox app, and Google's new cross-application search service Springboard--in short, stuff you may already be using.

The Next Wave of Cloud Computing: Artificial Intelligence? »


Over the past few years, cloud computing has been evolving at a rapid rate. It is becoming the norm in today's software solutions. Forrester believes that that cloud computing will be a 191 billion market by 2020. According to the 2016 State of Cloud Survey conducted by RightScale, 96% of its respondents are using the cloud, with more enterprise workloads shifting towards public and private clouds. Adoption in both hybrid cloud and DevOps have gone up as well.

Develop, Train and Deploy TensorFlow Models using Google Cloud AI Platform


The TensorFlow ecosystem has become very popular for developing applications involving deep learning. One of the reasons is that it has a strong community and a lot of tools have been developed around the core library to support developers. In this tutorial, I will guide you through how to prototype models in google colab, train it on Google Cloud AI Platform, and deploy the finalized model on Google Cloud AI Platform for production. I will include the working Google colab notebooks to recreate the work. Google colab is a free resource for prototyping models in TensorFlow and comes with various runtime.

Google's AI chips are now open for public use


Google's Cloud Tensor Processing Units are now available in public beta for anyone to try, providing customers of the tech titan's cloud platform with specialized hardware that massively accelerates the training and execution of AI models.

Google explains its cloud computing vision for enterprises and startups


At the Google Cloud Platform developer conference today Google explained its vision of how enterprises will move to and operate more efficiently in its cloud. The vision: Zero-Dev-Ops cloud computing that "instead of programming a computer you teach it what it [Google's cloud] wants to know and it learns to give you what you want," according to Alphabet Chairman Eric Schmidt. The vision may sound more like a SciFi movie, but it knit together new and recently announced technologies that Google announced into a coherent explanation. Google plans to bring its enormous-scale data center know-how learned fulfilling 85% of the world's searches with open source software in a serverless secure cloud in which it invested 10 billion in capital equipment last year. It has repurposed open source versions of its highly optimized internal systems used to build and operate the seven services such as Maps and Gmail that have more than a billion users for its cloud customers.