Machine Learning and Augmented / Virtual Reality
Machine learning is primarily for processing and refining data; AR and VR are more about visualizing data. In other words, ML could become an increasingly important part of AR/VR background activities.
Augmented Reality bridges the gap between the physical and virtual world by overlaying digital snippets above physical objects.
Deep learning is a subset of machine learning in artificial intelligence. It imitates the workings of the human brain in processing data and creating patterns for use in decision making. It can instill intelligence into AR systems and can be used to improve computer vision.
Deep learning relies on an influx of large volumes of data to expand its knowledge and strength. With virtual and augmented reality, a steady stream of unstructured data is pumped into the system for it to work through, with the algorithm translating the data into practical instructions for how the VR/AR system should run.
Deep learning is the perfect partner for improving the increasingly pervasive technologies of augmented and virtual reality. Deep learning systems have a knock-on effect on assisting with the expansion of use for VR and AR.
Combining machine learning with VR and AR-driven reporting will help unlock the potential of Big Data for an ever-growing range of organizations and enterprises.
When combined, virtual reality and machine learning can be used in tandem to improve the sophistication of tech products and tools.