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Google Releases Enterprise Database Options, Targets SQL Server Customers
In a recent blog post, Google announced enhancements to their existing Google Cloud Platform (GCP) database investments, including Cloud SQL for Microsoft SQL Server in alpha, Federated queries from BigQuery to Cloud SQL and Elastic Cloud on GCP being available in Japan and soon to be released in Sydney, Australia.
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Google Introduces Spinnaker for GCP, Simplifying the Configuration of Continuous Delivery
Spinnaker is an open-source multi-cloud continuous delivery platform co-developed by Google and Netflix. In a recent blog post, Google introduced the Spinnaker for Google Cloud Platform solution, which allows customers to install and run Spinnaker in the Google Cloud Platform (GCP).
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Google Adds New Integrations for the What-If Tool on Their Cloud AI Platform
In a recent blog post, Google announced a new integration of the What-If tool, allowing data scientists to analyse models on their AI Platform – a code-based data science development environment. Customers can now use the What-If tool for their XGBoost and Scikit Learn models deployed on the AI Platform.
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Google Acquires Elastifile to Expand Its Cloud File Storage Offering
Google recently acquired Elastifile, a provider of scalable, enterprise file storage in the cloud. With the acquisition, Google further extends its current file storage offering, Cloud Filestore, and third-party partner offerings.
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Google Formalizes Robots Exclusion Protocol in Effort to Make It an Internet Standard
The Robots Exclusion Protocol (REP) has governed the rules defining how to prevent crawlers from accessing a website since 1994. Now, Google has submitted a draft to the Internet Engineering Task Force (IETF) to make it an Internet Standard. In addition, Google has open sourced its implementation of the protocol.
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Google Releases TensorFlow.Text Library for Natural Language Processing
Google released a TensorFlow.Text, a new text-processing library for their TensorFlow deep-learning platform. The library allows several common text pre-processing activities, such as tokenization, to be handled by the TensorFlow graph computation system, improving consistency and portability of deep-learning models for natural-language processing.
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Google Releases Deep Learning Containers into Beta
In a recent blog post, Google announced Deep Learning Containers, allowing customers to get Machine Learning projects up and running quicker. Deep Learning consists of numerous performance-optimized Docker containers that come with a variety of tools necessary for deep learning tasks already installed.
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Google Local Home SDK Live as a Developer Preview
Announced at Google I/O 2019, the new Local Home SDK aims to make it easier for developers to connect their home devices to Google Assistant and improve their responsiveness by running their actions locally. It is now available as a developer preview.
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Google Cloud Scheduler is Now Generally Available
In a recent blog, Google announced that customers can now securely invoke HTTP targets on a schedule using Cloud Scheduler – a fully managed cron job service that allows any application to invoke batch, big data, and cloud infrastructure operations.
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Sign In with Apple Touts Single Sign-On without Sharing Your Data
At the recent WWDC 2019, Apple announced its own Single Sign-On (SS) service, dubbed Sign in with Apple. Deemed "Apple's most significant new innovation" by Time, Sign in with Apple promises not to share any personal user data, including email addresses.
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Google Uses Mannequin Challenge Videos to Learn Depth Perception
Google AI Research published a paper describing their work on depth perception from two-dimensional images. Using a training dataset created from YouTube videos of the Mannequin Challenge, researchers trained a neural network that can reconstruct depth information from videos of moving people, taken by moving cameras.
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Google Announces TensorFlow Graphics Library for Unsupervised Deep Learning of Computer Vision Model
At a presentation during Google I/O 2019, Google announced TensorFlow Graphics, a library for building deep neural networks for unsupervised learning tasks in computer vision. The library contains 3D rendering functions written in TensorFlow, as well as tools for learning with non-rectangular mesh-based input data.
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Google's Cloud TPU V2 and V3 Pods Are Now Publicly Available in Beta
Recently, Google announced that its second- and third-generation Cloud Tensor Processing Units (TPU) Pods — its scalable cloud-based supercomputers with up to 1,000 of its custom TPU — are now publicly available in beta. With these Pods, Machine Learning (ML) researchers, engineers, and data scientists can speed up the time needed to train and deploy machine learning models.
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Flutter 1.5 Goes Multi-Platform, Includes Web Support
Announced as a technical preview at the latest Google I/O 2019 event, Flutter 1.5 aims to make it possible to create native applications for multiple platforms, including new form-factor devices, the Desktop, and the Web.
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Google Scales Weak Supervision to Overcome Labeled Dataset Problem
Google recognizes that the need for labeled data in machine learning (ML) is a significant bottleneck and recently adapted the open-source Snorkel framework to overcome the problem at scale. Google enhanced Snorkel by integrating it with Tensorflow, using the file system for sharing data instead of a database, and creating separate executables for labeling functions.