New Technology Glossary: Difference between revisions

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* Metaverse - A large virtual world or combination of multiple virtual worlds.
* Metaverse - A large virtual world or combination of multiple virtual worlds.
* Hologram - A photorealistic virtual avatar or character. Or an image produced by a holographic display.
* Hologram - A photorealistic virtual avatar or character. Or an image produced by a holographic display.
* Spatial computing - Apple's own word for XR.


===Technical terms===
===Technical terms===

Revision as of 14:52, 12 July 2023

Web3

  • Blockchain - distributed digital ledger
  • Cryptocurrency - often referred to as crypto, digital currency
  • Nun-fungible Tokens (NFT) - tokens on a ledger which can be used to record ownership of digital items
  • Decentralization
  • Decentralized autonomous organization (DAO)

Virtual and Augmented Reality

  • Virtual Reality (VR) - a complete virtual environment. Typically associated with a VR headset.
  • Augmented Reality (AR) - overlaying virtual objects and interfaces into the real world. Typically done through a phone camera or upcoming AR glasses.
  • Mixed Reality (MR) - A subset of AR typically involving both real and virtual objects or worlds. This term is not well defined and is sometimes used as a synonym for AR.
  • eXtended Reality (XR) - catch all for AR, VR, and MR
  • Metaverse - A large virtual world or combination of multiple virtual worlds.
  • Hologram - A photorealistic virtual avatar or character. Or an image produced by a holographic display.
  • Spatial computing - Apple's own word for XR.

Technical terms

  • VR Headset or Head-mounted Display (HMD)
  • Stereoscopic VR
  • Panoramic/180/360 Video
  • Omnidirectional Stereo (ODS)
  • Foveated Rendering

List of Metaverse

List of some of the more well-known metaverse

Artificial Intelligence

  • Computer Vision (CV) - area of research for understanding images and videos
  • Natural Language Processing (NLP) - area of research for understanding language
  • Robotics - planning and control, typically involving CV and RL, for drones, self-driving, humanoids.
  • Big Data - large sets of data, possibly high-dimensional, which are used to train neural network models
  • Reinforcement Learning (RL) - learning which actions to perform (policy) to achieve a goal (reward maximization), typically in games
  • Generative models - anything that outputs text, images, or sounds. (e.g. LLMs, GANs, Diffusion models)