Tuesday, April 13, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Google Stadia Style Transfer adds machine learning to game design

March 19, 2019
in Machine Learning
Google Stadia Style Transfer adds machine learning to game design
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Credit: Google News

You might also like

AI, Machine And Deep Learning: Filling Today’s Need for Speed And Iteration

Analyttica Datalab Introduces LEAPS Programs on Applied Data Science and Machine Learning

Tredence Launches ML Works, Machine Learning Ops Platform to Accelerate AI Innovation and Value Realization

Google Stadia will allow for game design based around machine learning thanks to Style Transfer.

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.

Welcome to #Stadia, an all-new way to play from @Google. Coming in 2019. pic.twitter.com/Hlj0fVw3zC


— 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.

Google Stadia gaming controller
Google Stadia gaming controller

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.

Kevin Tucker is a core component of Shacknews’ powerful guide development team. For questions, concerns, tips, or to share constructive criticism, he can be reached on Twitter @dukeofgnar or through e-mail at kevin.tucker@shacknews.com.


Credit: Google News

Previous Post

complete walkthrough using a detailed use-case

Next Post

Chief Safety Officers Needed in AI: The Case of AI Self-Driving Cars

Related Posts

AI, Machine And Deep Learning: Filling Today’s Need for Speed And Iteration
Machine Learning

AI, Machine And Deep Learning: Filling Today’s Need for Speed And Iteration

April 12, 2021
Analyttica Datalab Introduces LEAPS Programs on Applied Data Science and Machine Learning
Machine Learning

Analyttica Datalab Introduces LEAPS Programs on Applied Data Science and Machine Learning

April 12, 2021
Tredence Launches ML Works, Machine Learning Ops Platform to Accelerate AI Innovation and Value Realization
Machine Learning

Tredence Launches ML Works, Machine Learning Ops Platform to Accelerate AI Innovation and Value Realization

April 12, 2021
IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory
Machine Learning

IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory

April 12, 2021
Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars”
Machine Learning

Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars”

April 12, 2021
Next Post
Chief Safety Officers Needed in AI: The Case of AI Self-Driving Cars

Chief Safety Officers Needed in AI: The Case of AI Self-Driving Cars

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Billions of smartphone owners will soon be authorising payments using facial recognition
Internet Security

Billions of smartphone owners will soon be authorising payments using facial recognition

April 13, 2021
Indian Brokerage Firm Upstox Suffers Data Breach Leaking 2.5 Millions Users’ Data
Internet Privacy

Indian Brokerage Firm Upstox Suffers Data Breach Leaking 2.5 Millions Users’ Data

April 13, 2021
Caruso real estate to accept Bitcoin as rent payment in industry first
Blockchain

Caruso real estate to accept Bitcoin as rent payment in industry first

April 12, 2021
AI, Machine And Deep Learning: Filling Today’s Need for Speed And Iteration
Machine Learning

AI, Machine And Deep Learning: Filling Today’s Need for Speed And Iteration

April 12, 2021
WOMEN IN A.I. ~ Future is Female
Neural Networks

WOMEN IN A.I. ~ Future is Female

April 12, 2021
Stumbling blocks to digital transformation: Monday’s daily brief
Digital Marketing

Stumbling blocks to digital transformation: Monday’s daily brief

April 12, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Billions of smartphone owners will soon be authorising payments using facial recognition April 13, 2021
  • Indian Brokerage Firm Upstox Suffers Data Breach Leaking 2.5 Millions Users’ Data April 13, 2021
  • Caruso real estate to accept Bitcoin as rent payment in industry first April 12, 2021
  • AI, Machine And Deep Learning: Filling Today’s Need for Speed And Iteration April 12, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates