An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for the purpose of dimensionality reduction. Recently, the autoencoder concept has become more widely used for learning generative models of data.
When Microsoft announced its Windows Mixed Reality platform last week, it talked about how the combination of virtual reality and augmented reality (which Microsoft calls mixed reality) would create a new era in computing.
The Facebook CEO’s cartoon avatar visited the hurricane-damaged island in a tone-deaf livestream that was part disaster tourism, part product promotion
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Insights We should all think together There are big questions we should all think together, the questions like: “Where shall we go as a society?”, “What do we want from technology?” There are many controversial issues in our societies left unsolved Tadao Ando has designed architectures through presenting his visions for the future. His architectures show the endeavor to present themes such as the houses of origins, house of building upon what exists, and creating that which does not exist, ...
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Just as it’s changing the gaming industry, it will change the way we do our jobs.
Collaborating across a mixed reality space is surprisingly simple.