Google Assistant driving mode was first announced in 2019 but started rolling out late last year. That was when Google decided to build most of Android Auto's features into Android 10 as a system-level feature, and discontinue the previously downloadable app.

Google has confirmed that it will be shutting down its standalone ''Android Auto for Phone Screens'' app from Android 12 onwards.

Google says car owners should use the Google Assistant driving mode instead, available within the Google Maps app, or the native Android Auto interface available inside cars compatible with it. Google also assures that the experience won't be changing for anyone using Android Auto while driving a car.

Google has issued a statement that said, "For those who use the on-phone experience (Android Automobile app), they will be transitioned to Google Assistant driving mode. Starting with Android 12, Google Assistant driving mode will be the built-in mobile driving experience. We have no further details to share at this time."

That's fine for anyone with an Android Auto-compatible car, but anyone with an older vehicle would have lost access to the driving-friendly interface available directly on their phone.

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Google's John Mueller said on Friday's webmaster hangout that while the current URL parameter tool has been missing data for a while, it is not a sign that Google will deprecate it. In fact, he said when the tool does migrate to the new Search Console, it "will have some really cool stuff coming out."

John would not say more outside of "it'll be pretty cool" and he does not want to pre-announce anything.

He said this at the 11:04 mark when Mihai asked him about what is going on with the missing data in the URL parameter tool. John said the data should be fixed "fairly soon."

Here is the transcript on the data issue part:

The data there has been missing for a really long time but that's not because we want to deprecate it it's just because things are weirdly stuck on our side with kind of the various teams that are involved with creating that data. Internally we use the kind of similar data already, it's not that we don't follow that input at all. It's just the data that we display in Search Console is kind of stuck just before it reaches Search Console.
And my understanding is that that should get resolved fairly soon but I've been hoping that that's fairly soon for a while now. So I've been nudging a little bit more. Hopefully, that'll get better.

Then he hinted at what is to come, without saying more than it would be very cool and useful for very large sites:

With regards to moving to the new Search Console, My understanding is that they do want to kind of keep that functionality and move that to the new tool as well. I expect especially for larger websites we will have some really cool stuff coming out as well over time that. Yeah, it'll be pretty cool. I don't want to pre-announce anything so I'm not going to go into more any details there. But it definitely is something that makes sense to focus on as you mentioned for e-commerce sites with a lot of parameters. You can clean up some things there and make it a little bit easier to crawl and index your site.

We know Google still uses the data from this tool, a lot. And Google did say the URL parameter may change, which is why we have not seen it migrate yet from the old Search Console to the new Search Console.

Source: seroundtable

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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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