A few weeks ago, we published an article on Wired about the way the internet of things has changed how we connect to each other.

And that article has been one of the most-shared on the site.

“We’ve changed how you connect to other people and the internet is now much more about connections,” says Steve McQuade, co-founder of the San Francisco-based McQuake team.

“If you’re in San Francisco you’re used to the way that a company or a restaurant works.

And now the internet works much more like the way you and your friends connect.”

It’s a similar story for the internet’s role in the physical world.

The world of technology has changed our way of looking at it, and this is reflected in the way people interact with it.

It’s not just a matter of connecting in a physical space, either.

“The internet is not the only way that people interact.

But it’s one of them,” says McQuack.

The internet has become a place where people can build networks.

It can be a way to connect, or it can be the only one, says McQue.

And the way this is happening is with a lot of companies that have invested in the technology and in the data that are used to make them.

For instance, Apple has invested heavily in machine learning to help with its AI, which is the technology behind Siri and Apple’s voice assistant, Apple Music.

And Google is building a cloud-based service that uses artificial intelligence to improve its search results, which it claims is more accurate than Google’s own.

The data and the AI are also being used to improve the way cars, for example, drive.

“There’s an increasing emphasis on machine learning and machine intelligence,” says Jeffrey Ries, a professor at the University of California, Berkeley, who studies the impact of AI on human society.

“That’s changing how we communicate, how we collaborate, and how we interact.”

The trend of companies investing in machine-learning AI is also having an impact on the way data is used.

In some ways, it’s already happened.

Google has used machine learning in its search engine and has built a new machine-learned algorithm to help it better understand what people are looking for.

Google says it has also developed its own data-collection service, called Google Cloud Vision, to help companies identify trends in data and make sure they’re being used appropriately.

Google is also developing machine-knowledge technologies for use in its self-driving car, and it is trying to build a neural network that can understand the behaviour of people using its self driving system.

The trend has even been seen in the world of advertising, which has invested in AI, including the use of machine learning by some advertisers to make their advertising more relevant to a broader audience.

It could be a trend that companies like Uber are hoping to see replicated in the real world.

It was recently reported that Uber used machine-language-recognition software to recognise drivers and offer them rides.

Uber says that is a small part of what it does, but it does seem like a trend it wants to see continue.

“It’s not really the end of the world.

We’re just seeing the beginning of a revolution,” says John Krauss, a co-director of the Future of Humanity Institute at Stanford University.

Uber’s technology could be used in the same way Google’s does to create a sense of familiarity and connection.

Krauss believes AI could be the “killer app” for the advertising industry.

“When I talk to people, the biggest thing I get from them is how much it helps them,” he says.

Companies are building these artificial intelligence systems that will be the key driver for what’s coming down the road, because people are going to want that feeling of connection and belonging to the company.”