6 areas of AI and Machine Learning to watch closely

#ICYMI 6 areas of #AI and #MachineLearning to watch closely

  • Those who are able to train faster and deploy AI models that are computationally and energy efficient are at a significant advantage.
  • Some have rebranded AI as “cognitive computing” or “machine intelligence”, while others incorrectly interchange AI with “machine learning”.
  • If we want AI systems to solve tasks where training data is particularly challenging, costly, sensitive, or time-consuming to procure, it’s important to develop models that can learn optimal solutions from less examples (i.e. one or zero-shot learning).
  • Deep learning models are notable for requiring enormous amounts of training data to reach state-of-the-art performance.
  • Without large scale training data, deep learning models won’t converge on their optimal settings and won’t perform well on complex tasks such as speech recognition or machine translation.


Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.

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Video Games Are So Realistic That They Can Teach AI What the World Looks Like

Video games are so realistic they can teach AI what the world looks like

  • Video games allow researchers to create labelled images much more quickly than when they work with real photos.
  • But you can cull so many labelled images from games that their sheer number makes up for the lack of detail in individual images.
  • Not only that, but commercial video games could kick artificial intelligence research into high gear by dramatically lessening the time and money required to train AI.
  • Video Games Are So Realistic That They Can Teach AI What the World Looks Like
  • Video games aren’t advanced enough to be indistinguishable from reality, and so real images are still preferred.

And they’re only getting better.
Continue reading “Video Games Are So Realistic That They Can Teach AI What the World Looks Like”

Video Games Are So Realistic That They Can Teach AI What the World Looks Like

Video games are so realistic they can teach AI what the world looks like

  • Video games allow researchers to create labelled images much more quickly than when they work with real photos.
  • But you can cull so many labelled images from games that their sheer number makes up for the lack of detail in individual images.
  • Not only that, but commercial video games could kick artificial intelligence research into high gear by dramatically lessening the time and money required to train AI.
  • Video Games Are So Realistic That They Can Teach AI What the World Looks Like
  • Video games aren’t advanced enough to be indistinguishable from reality, and so real images are still preferred.

And they’re only getting better.
Continue reading “Video Games Are So Realistic That They Can Teach AI What the World Looks Like”