Virtual Reality And Machine Learning Go Hand In Hand
According to some experts, the origins of virtual reality can be traced back to the 1950s, although the first virtual reality display wasn’t invented until 1968. The field has obviously evolved over the past half of a century. However, it is changing more rapidly than ever before. Some of the biggest reasons for the sudden evolution are the recent milestones in the combination of virtual reality and machine learning.
Last December, Emory Craig, a well-known technology evangelist, writer, and speaker on machine learning, wrote a Quora post that stated that the role this technology will play is going to be even more significant in the very near future. Craig argued that deep learning could be a tremendous game changer for virtual reality by 2020. In the meantime, machine learning and artificial intelligence are already impacting the field in spectacular ways.
Craig provided a very helpful synopsis on the subject. Jack Clover, a computer vision and NLP expert for Logikk, delved deeper into the relationship between machine learning, artificial intelligence and virtual reality in a recent post on LinkedIn.
Clover points out that at its core, artificial intelligence is a term that describes an algorithm that pulls from its own knowledge base to deliver outputs that have a tangible impact on human users. With this concept in mind, it is easy to understand the relevance of machine learning to the field.
The connection to virtual reality becomes clearer when you consider the growing importance that artificial intelligence has on it. Clover points out that a simple headset that displays digital images doesn’t require any form of artificial intelligence. However, virtual reality does depend on highly sophisticated AI algorithms to emulate reality.
VIOND has highlighted a number of ways that machine learning is changing the field. Here are a few of the biggest.
Most of the discussions I have seen about improvements in virtual reality focus on the ability of the simulation to replicate the environment that users immerse themselves in.
