MobiusTrend Research AI Deep Learning and Hologram AR Applications
Facebook, Google and WIMI focus on AI deep learning +AR technologies, which will facilitate the interactive display and extend AR application scenarios
MobiusTrend, a market research company in Hong Kong, recently released a research report on ‘AI Deep Learning and Hologram AR Applications’. Although AR technology is still in its infancy, there are already signs that it will become the mainstream. AR will profoundly affect businesses in every industry, and in the coming years, AR will change the way we learn, make decisions, and interact with the physical world.
Deep learning, a subclass of machine learning where software tries to mimic the part of the brain used for pattern recognition, has had a huge impact on the entire technology industry, and is a key factor driving the AR industry forward. Computers can perform tasks at a speed that humans cannot emulate, but they can never process and sort information in a way that humans can. In the AR field, deep learning is being used to solve the detection problem based on camera tracking.
Recommended AI News: SaltStack to Stream SecOps and Security Automation Sessions During Black Hat 2020
In the artificial intelligence industry, algorithm enterprises are playing an important role. The significance of algorithm lies in that it can break the industrial red line and truly achieve the KPI of industrial application. Such enterprises are actually the fundamental force driving the development of the underlying technology at the core of artificial intelligence. From foreign giants such as Microsoft, Google, Facebook, etc., all of them deeply developed supercomputing.
Recommended AI News: SteelCloud Selects DLT Solutions as the Distributor for Its STIG Compliance Products
A study by Facebook was published on CVPR. The study features objects (mainly people) superimposed on existing images and allows them to blend in with more realistic perspectives and ways to look more natural.
Although there are a variety of portrait generation tools based on neural network models, one is to generate images under given conditions, the other is to let the algorithm from zero, free play to generate a high definition and realistic portrait. Facebook says there appears to be a new application that embeds a portrait from a given image into an image that contains other portraits. The application of this research can be integrated into the future AR/VR social (remote social), or other AR derived applications and other scenarios.
Recommended AI News: Flotek Welcomes New CFO Michael E. Borton
Comments are closed, but trackbacks and pingbacks are open.