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Full Stack: Tech news for the week ahead - 4 June

Posted on 4/06/2019
by Client Server

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Welcome to this week's Full Stack, Client Server's weekly look at the news shaping the world of tech. 


Google to restrict modern ad blocking Chrome extensions to enterprise users

Back in January, Google announced a proposed change to Chrome’s extensions system, called Manifest V3, that would stop current ad blockers from working efficiently. In a response to the overwhelming negative feedback, Google is standing firm on Chrome’s ad blocking changes, sharing that current ad blocking capabilities will be restricted to enterprise users.

Now, months later, Google has responded to some of the various issues raised by the community, sharing more details on the changes to permissions and more. The most notable aspect of their response, however, is a single sentence buried in the text, clarifying their changes to ad blocking and privacy blocking extensions.


Twitter buys tech start-up that claims to quickly spot fake news

Twitter has acquired Fabula AI to strengthen its machine learning expertise and rat out fake news from the platform.

Its CTO Parag Agrawal says "...a key driver as we work to help people feel safe on Twitter and help them see relevant information. Specifically, by studying and understanding the Twitter graph, comprised of the millions of Tweets, Retweets and Likes shared on Twitter every day, we will be able to improve the health of the conversation, as well as products including the timeline, recommendations, the explore tab and the onboarding experience."


Apple launches new user interface glyphs

Apple’s new SF Symbols system of user interface glyphs launched this week, including a variable fonts component for seamless weight adjustments.


Simplifying C++ documentation using Sphinx

C++ Developer Advocate at Microsoft Simon Brand writes about using Sphinx, Breathe, Doxygen and CMake to produce "clear, functional C++ documentation".


Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Here is a decent list of the best AI cheat sheets


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