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Liferay and Machine learning with TensorFlow!

Enprowess

As Artificial intelligence and Machine learning are in action now, there are various APIs and libraries available with Java too. Let’s look at TensorFlow – TensorFlow is an open source software library for machine learning, developed by Google and currently used in many of their projects. Implementation reference: [link].

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Mobile Web Testing: Testsigma vs Appium

Testsigma

Provides support for various programming languages such as Java, Python, etc. It uses mobile test automation frameworks such as Selendroid, Google UIAutomator, Apple instruments, etc. Testsigma provides 2000+ combinations of browser and device combinations so that you can perform thorough testing on all these devices simultaneously.

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What are the best multi-browser testing tools?

Testsigma

With over 2000 desktop browsers, real iOS and Android devices — it comes with a highly flexible platform that lets us create test suites for diverse browsers and versions. Also, we can run tests in parallel across various browsers that are available on the local machines. Best Multi-browser Testing Tools. Picture Credit: MultiBrowser.

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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Data connectivity across Netflix Studio and availability of Operational Reporting tools also incentivizes studio users to avoid forming data silos. Data Delivery via Data Mesh What is Data Mesh?

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Mobile Automation Testing Tools: Appium, Testsigma, TestComplete and more

Testsigma

There are plenty of automation tools and frameworks available in the market for both Android and iOS. Screenshots and videos are readily available for your test execution – you can configure them to be recorded for just test failures or for all test executions. UI Automator only supports the Java and Kotlin languages.

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Platform Adjacency Theory

Alex Russell

is an open collaboration between Google, Microsoft , Intel , Samsung , and others to safely bring capabilities to the web which native developers have come to expect. Java arrived with a focus on structured programming (including threads), GUI controls , networking, device access, and graphics. Chromium's Project Fugu ??

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Meta-learning neural Bloom filters

The Morning Paper

For example, a Google Bigtable database usually contains one Bloom Filter per SSTable file. Under high query loads therefore, Neural Bloom Filters could potentially be deployed “ without a catastrophic decrease in throughput, if GPU devices are available ” (emphasis mine). Wrapping up.

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