MobileNews

Apple and Google partner on Bluetooth interoperability for COVID-19 tracing apps

Apple and Google today said they’re working together on Bluetooth interoperability between Android and iOS devices to empower coronavirus tracking apps for smartphones. Apple and Google own the world’s two most widely used mobile operating systems. The news was announced today in a joint Apple–Google statement and will enable tracking of close proximity between people across Android and iOS…
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MobileNews

Samsung Galaxy S10 Lite gets One UI 2.1 and April patch with latest update

Samsung rolled out a software update for the Galaxy S10 series last week which brought One UI 2.1 to the 2019 Galaxy S smartphones. Now it’s the S10 Lite that’s getting the latest version of Samsung’s custom Android UI. The new firmware has build number G770FXXU2BTD2 and it comes with the Android security patch dated April 1, 2020. The update also brings along new features to the…
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MobileNews

Oppo Ace 2 5G to have 90Hz display

Oppo is expected to launch the Ace 2 5G on April 13, and yes, you read that correctly, the Reno moniker is gone from the name. The company has been heavily teasing the phone and now is has posted some more specs online. The Oppo Ace 2 will have a display with 90Hz refresh…
GamingNews

Zynga and Universal Games will add Fast & Furious cars to CSR Racing 2

Universal Games and Digital Platforms and Zynga are collaborating to bring more Fast & Furious cars to CSR Racing 2 mobile game. This means that cars inspired by Universal Pictures’ blockbuster movie series will appear in the game through a series of special events. Zynga has featured Fast & Furious cars in limited events in the past, including in the past two springs. Now it will…
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AI & RoboticsNews

Google releases SimCLR, an AI framework that can classify images with limited labeled data

A team of Google researchers recently detailed a framework called SimCLR, which improves previous approaches to self-supervised learning, a family of techniques for converting an unsupervised learning problem (i.e., a problem in which AI models train on unlabeled data) into a supervised one by creating labels from unlabeled data sets. In a preprint paper and accompanying blog post, they say that…
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