Metaverse in InterPlanet Internet: Navigating Resource Space with Deep Neural Networks and Functional AI for Predicting Material Surfaces

EasyChair Preprint 9862

Abstract

The interplanet internet is a conceived computer network in space, consisting of a set of network nodes and these nodes are the planet’s orbiters (satellites) and landers (e.g. robots, etc.) and the earth ground stations. As resource depletion on Earth becomes real, the idea of extracting valuable elements from asteroids or using space-based resources to build space habitats becomes more attractive, one of the key technologies for harvesting resources is robotic space mining o building of space settlement. The metaverse is essentially a simulated digital environment. The metaverse would be something very similar to real world planetary activities where users( space colonies or internet users on Earth) interact with overlaying objects represented by robots, drones, etc. for planetary activities like space mining, etc. Here we show how prediction of space resources may be improved by capturing resource structures from a material sequence  i.e. the material/metals character concealed. With this background, the neural network based on simplified version of GAN( Generative Adversarial Networks) is deployed, that get finely tuned during training, and it is discovered that when the network is well-trained to predict the masked patterns, then its internal weights are actually capturing, or “understanding”, resource structure. The desired response or generator loss, was defined as the yield of the target product, and new conditions and patterns were synergistically combined with automation in Space Robot. The results of the study simulated on existing  internet here on Earth show that the real individual  behaviour on a distant planet can be achieved  provided the interplanet internet is available as pathway communication. Therefore, connected metaverse with different encoded layers of virtual spaces for tracking resources along with deep learning models could be of reality even in interplanet environment.

Keyphrases: Artificial Intelligence, Generative Adversarial Networks, InterPlanet Internet, Metaverse, Reddy's Encoding Model

@booklet{EasyChair:9862,
  author    = {Poondru Prithvinath Reddy},
  title     = {Metaverse in InterPlanet Internet: Navigating Resource Space with Deep Neural Networks and Functional AI for Predicting Material Surfaces},
  howpublished = {EasyChair Preprint 9862},
  year      = {EasyChair, 2023}}