VR HMD's have resulted in a new way of viewing media. The lack of VR video content is apparent. We are developing a real-time technology allowing the user to view any content fully immersed in the VR experience.
As an experiment, we applied some of our know-how and were surprised by the results. We are now fully committed to creating the most immersive experience possible in VR.
Original Image
Viewed in VR
With a little support, we can create something awesome!
Research into single layer Neural networks exposed their weaknesses in mimicking intelligent actions. Data-driven neural networks such as Deep neural networks require too much training to be practical for real-time applications.
We are working on a hybrid solution that monitors human behavior, learning within minutes of exposure to training.
The answer to one binary question can be trained efficiently, stacking these binary questions results in complex intelligent behavior. The set of all situations is mathematically modeled during supervised learning, allowing the system to generate rules and even perform well in new situations previously not exposed to.
Researching into the XOR operator applying signal theory made it possible to extract fractal information from base 2 number systems.
A proof of concept isometric implementation allowed us to explore the infinite landscape of patterns possible.
We are now moving to 3D where the technology has successfully created large scale structures with meaningful composition, without any human intervention.