As part of its $1 billion investment in partnerships with news publishers, Google will start paying for some paywalled content for its News Showcase program. News Showcase, a new addition to Google News that launched in October, displays story panels curated by publishers — but it's not available in the US yet.

News Showcase will “start offering people access to paywalled content in partnership with select news publishers,” says a Google blog post. Google will pay partners for limited access to paywalled content. To access that content, users will still have to register with the individual publishers.

Users in the US shouldn’t get too excited about free articles just yet. Google lists partnerships with publishers in several countries, but the US is not currently on the list. News Showcase went live in October in Brazil and Germany. Publications in other countries, including Argentina, Canada, France, UK, and Australia, have since signed on. “Conversations are underway in a number of other countries,” Google says.
Google also announced a new kind of story panel, enabling individual publishers to display curated lists of important articles of the day. These selections will appear in users For You feeds, as well as a new dedicated area within the Newsstand on Google News.

News Showcase was first launched for the Google News app on Android and is now available on iOS. Google says it will be coming soon to news.google.com and Google Discover.

Source: Theverge

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Apple Inc and Google said they are putting stronger privacy protections in their upcoming contact-tracing tool for Covid-19 and that an early version will launch for developers next week.

The companies said the system’s tracking keys — a string of characters linked to a user’s device — will be generated in more random ways, and that Bluetooth data will now be encrypted, making it more difficult for individuals to be identified by hackers. Apps using the tool will also now limit the recording of the time people are exposed to an infected person to a maximum of 30 minutes.

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The system unveiled two weeks ago, will add technology to the iOS and Android operating systems that alert users if they have come into contact with a person with Covid-19. The companies are now calling the technology Exposure Notification, a term they said more accurately describes the functionality.

The first phase — tools for public health apps to add contact tracing — will launch publicly in mid-May after an early beta version of the software is released to developers next week. In the coming months, the technology will be embedded more deeply into the Apple and Google operating systems to be less reliant on apps.

The companies also explained that if a person inputs that they have tested positive for Covid-19 into the system, they will be added to a positive diagnosis list so the system can notify other people they have come into contact with. They reiterated that the system doesn’t reveal a user’s identity or location to Apple or Google.

The companies are also adding new features for public health developers to build contact-tracing apps. The system will give apps data on the strength of Bluetooth signals so the distance between devices can be more accurately estimated. Developers will also be able to specify distance and time to determine what constitutes Covid-19 exposure for their apps. The tool will also determine how many days since a person has been exposed.

Apple said that the software update to enable the system will work on devices released in the last four years. Google said the tool will work with Android 6.0 or higher, which covers about 2 billion gadgets.

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Google is tweaking its privacy settings to keep less data on new users by default.

The search giant said that starting Wednesday, it will automatically and continuously delete web and app activity and location history for new users after 18 months.

Settings for existing users won’t be affected but the company will send reminders about the feature.

The change comes after Google added new controls last year that allow users to effectively put an expiry date on their data, by providing the option to auto-delete location history, search, voice and YouTube activity data after three or 18 months.

The company is also making it easier to toggle in and out of incognito mode while using its Search, Maps and YouTube mobile apps by doing a long press on the profile photo. In incognito mode, Google doesn’t remember any activity during online browsing.

In another change, users will get easier access to their controls when doing Google searches. If they’re signed into their Google accounts and search for terms like “Google Privacy Checkup,” they will see a box only visible to them with their privacy and security settings

To quote Google CEO Sundar Pichai: AI is “more profound than fire or electricity.”

To back up this claim with incontrovertible evidence: here’s an AI tool made by Google researchers that turns doodles into weird monsters. What could be more profound?

It’s certainly fun, anyway. The tool is called Chimera Painter and uses machine learning to generate imagery based on users’ rough sketches. This sort of dynamic is becoming a relatively common one in machine learning. Nvidia has done it with landscapes before; MIT and IBM did it with buildings, and now Google is ... doing it with monsters.

The team behind Chimera Painter explained their methods and motivations in a blog post, saying the idea was to create a “paintbrush that acted less like a tool and more like an assistant.” Chimera Painter is just a prototype, but if software like this becomes common it could “reduce the amount of time necessary to create high-quality art,” claim the team.
The researchers gave themselves the challenge of creating artwork for a fictional fantasy card game, in which players combine features from different monsters and battle them like mutating Pokémon. They trained a machine learning model on a database of more than 10,000 sample monsters, which were themselves in part procedurally generated using 3D models rendered in Unreal Engine. Each image is paired with a “segmentation map” — an overlay that divides the monsters into anatomical parts like claws, snouts, legs, and so on.

Once the model has been trained on this data, users can then paint their own segmentation map which is then rendered using photorealistic textures. If you load up Chimera Painter you can see some of the preset monsters and they’re impressively cohesive. However, painting one yourself takes more time and effort than you might think. Our attempt below, for example, looks like a knock-off Gruffalo depicted using mud. It’s monstrous, but not necessarily a monster.

Source: theverge

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