Credit: Google News
Style Transfer is part of Google Stadia. It uses machine learning to aid in the development of video games by creating objects, environments, and even new art styles all without explicit input. Far beyond simply allowing developers to focus less on more tedious aspects of design, machine learning with Google Stadia carries the potential to completely shake up the development industry.
— Stadia (@GoogleStadia) March 19, 2019
For those who may not be familiar, machine learning is a field that uses computational power to perform certain tasks without clearly-defined input or instructions. In a sense, it’s an offshoot of artificial intelligence that allows computers to predict or model certain behavior, simplifying common tasks like data analysis and allowing machines to better understand visually oriented data, among other possibilities.
For Google Stadia, machine learning means the system can automatically generate things like environments, textures, objects, and so on, all without being necessarily instructed to do so. AI based around machine learning is already capable of filling in images with details it expects to be there, and given enough headroom, it could theoretically create entire environments without input whatsoever.
In addition to the AI-backed power of Google Stadia, the tech giant also used its GDC 2019 keynote as an opportunity to show off the new Google Stadia gaming controller. Unlike other wireless offerings, the Stadia controller is based around WiFi connectivity, likely as part of the platform’s ability to transfer game streams between devices on the fly.
We’re still waiting to hear more about how machine learning and Style Transfer play into the Google Stadia ecosystem, but we don’t anticipate the wait will be very long. Google says that Stadia is expected to launch later this year. Be sure to keep it tuned here to Shacknews for more GDC 2019 updates.
Credit: Google News