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Dart and Flutter Improve Performance, Safety, and Tooling for Cross-Platform Mobile Development
The latest Dart release, Dart 2.8, focuses on preparing the ground for the introduction of null safety and brings an improved package manager. Flutter 1.17 significantly improves runtime performance while reducing binary size and memory usage. Additionally, it introduces a number of new Material widgets, including NavigationRail, updated DatePicker, and more.
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Google Open-Sources New Higher Performance TensorFlow Runtime
Google open-sourced the TensorFlow Runtime (TFRT), a new abstraction layer for their TensorFlow deep-learning framework that allows models to achieve better inference performance across different hardware platforms. Compared to the previous runtime, TFRT improves average inference latency by 28%.
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Google and Apple Publish Exposure Notification API Draft
Only a few weeks after its initial announcement, the partnership between Google and Apple to provide their mobile OSes with solid foundations for contact tracing applications has reached a key milestone, a preliminary draft of the Exposure Notification API and beta release for iOS.
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Google Updates Cloud Spanner with New Features: Backup on Demand, Local Emulator, and More
In a recent blog post, Google announced a slew of new features for Cloud Spanner. The public cloud provider released the service with new updates including the managed backup-restore feature, foreign key support, query optimizer versioning feature, a C++ client library, and a local emulator.
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Google Cloud Healthcare API Now Generally Available
In a recent blog post, Google announced the general availability of its Cloud Healthcare API. This service facilitates the exchange of healthcare data between solutions built on Google Cloud Platform (GCP) and applications.
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Google Announces Anthos Support for Multi-Cloud is Generally Available
In a recent blog post, Google announced that Athos support for multi-cloud is generally available. With Anthos, customers can now consolidate all their operations across on-premises, Google Cloud, and other clouds starting with AWS and Microsoft Azure as it is currently in preview.
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Microsoft and Google Release New Benchmarks for Cross-Language AI Tasks
Research teams at Microsoft Research and Google AI have announced new benchmarks for cross-language natural-language understanding (NLU) tasks for AI systems, including named-entity recognition and question answering. Google's XTREME covers 40 languages and includes nine tasks, while Microsoft's XGLUE covers 27 languages and eleven tasks.
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Google Introduces Service Directory to Manage All Your Services in One Place at Scale
In a recent blog post, Google introduced a new managed service on its Cloud Platform (GCP) called Service Directory. With this service, Google allows customers to publish, discover, and connect services consistently and reliably, regardless of the environment and platform where they reside.
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Google and Apple Jointly Working on Contact Tracing for iOS and Android
Google and Apple announced a joint effort to create a Bluetooth-based contact tracing solution for iOS and Android. This initiative aims to provide a tool to fight the spread of the COVID-19 virus by alerting participants who have been in contact with someone who has been positively diagnosed.
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Google's SEED RL Achieves 80x Speedup of Reinforcement-Learning
Researchers at Google Brain recently open-sourced their Scalable, Efficient Deep-RL (SEED RL) algorithm for AI reinforcement-learning. SEED RL is a distributed architecture that achieves state-of-the-art results on several RL benchmarks at lower cost and up to 80x faster than previous systems.
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Code Search Now Available to Browse Google's Open-Source Projects
Code Search is used by Google developers to search through Google's huge internal codebase. Now, Google has made it accessible to everyone to explore and better understand Google's open source projects, including TensorFlow, Go, Angular, and many others.
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Google Introduces TensorFlow Developer Certification
Google has launched a certification program for its deep-learning framework TensorFlow. The certification exam is administered using a PyCharm IDE plugin, and candidates who pass can be listed in Google's world-wide Certification Directory.
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Google Announces Cloud AI Platform Pipelines to Simplify Machine Learning Development
In a recent blog post, Google announced the beta of Cloud AI Platform Pipelines, which provides users with a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility.
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Google's MediaPipe Machine Learning Framework Web-Enabled with WebAssembly
Google recently presented MediaPipe graphs for browsers, enabled by WebAssembly and accelerated by the XNNPack ML Inference Library. As previously demonstrated on mobile (Android, iOS), MediaPipe graphs allow developers to build and run machine-learning (ML) pipelines, to achieve complex tasks.
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Google Announces Beta Launch of Cloud AI Platform Pipelines
Google Cloud Platform (GCP) recently announced the beta launch of Cloud AI Platform Pipelines, a new product for automating and managing machine learning (ML) workflows, which leverages the open-source technologies TensorFlow Extended (TFX) and Kubeflow Pipelines (KFP).