Google’s Stadia looks like an early beta of the future of gaming

“The future of gaming is not a box,” according to Google.

Instead, you’ll just need access to Google’s Chrome browser to instantly play games on a phone, tablet, PC, or TV. It’s a bold vision for where gaming is heading, and Google hopes its Stadia cloud streaming service will make it a reality.

Google may have just unveiled the future of gaming at the Game Developers Conference, but it’s a future the company has left us knowing very little about.

Google even unveiled its own Stadia Games and Entertainment studio to create Stadia-exclusive titles, but it didn’t mention any details on what games it will be building.

Google has omitted key details about Stadia In an interview with Kotaku, Google Stadia boss Phil Harrison says, “[W]e will be able to get to 4K but only raise that bandwidth to about 30 Mbps.” That means the average fixed broadband connection in the US, currently around 96 Mbps by some estimates, will be sufficient, but if you’re living in a state without broadband coverage or relying on rural internet speeds then you’ll be stuck waiting on the Federal Communications Commission to raise the minimum rural broadband speed standard to 25 Mbps. You’ll also need a connection without broadband caps because if you’re going to be playing games a lot, then it will soon eat into data limits.

All of this makes Stadia look like an early beta for what will be part of the future of gaming.

Google has some fierce competition, but it looks like this cloud gaming war is just getting started.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

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also, watch

Google Launches AI Platform That Looks Remarkably Like A Raspberry Pi

Google has promised us new hardware products for machine learning at the edge, and now it’s finally out.

The thing you’re going to take away from this is that Google built a Raspberry Pi with machine learning.

Here is the link to the board that looks like a Raspberry Pi. This new hardware was launched ahead of the TensorFlow Dev Summit, revolving around machine learning and ‘AI’ in embedded applications, specifically power- and computationally-limited environments.

You might be asking why Google would build a Raspberry Pi clone.

The Google Edge TPU coprocessor has support for TensorFlow Lite, or ‘machine learning at the edge’.

This USB accelerator will work with the Raspberry Pi – that’s from Google’s product copy, by the way – and will get you started on machine learning inferencing with the Edge TPU designed by Google.

The price for this USB accelerator is $75 USD. We would like to congratulate the Raspberry Pi foundation for creating something so ubiquitous even Google feels the need to ride the coat tails.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

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