From last spring evening to this year's Hunan Satellite TV New Year's Eve party, we see that virtual display technology is getting closer and closer to us, but it is still a certain time to go into our life when it comes to Taobao AR shopping. Up to now, AR devices have been launched on all major platforms. We have seen that AR is in our side. What kind of surprises will VR/AR and cognitive ability collide in 2017?
Virtual reality, augmented reality, embedded vision, embedded speech, cognitive (reasoning, thinking) systems, just a year ago, these technologies are still far away from us, and now we are at our fingertips. These technologies are completely unrelated to each other. What is really desirable is the combination of virtual reality and deep learning systems and cognitive capabilities. It is predicted that by 2021, embedded systems will have a certain degree of cognitive ability, less than five years from now.
In 2017, VR, AR and cognitive system technologies will begin to be combined in a surprising or unexpected way.
Some unrelated technologies, such as virtual reality, augmented reality, embedded vision, embedded speech, and cognitive (reasoning, thinking) systems, are presented to the public. In 2017, these technologies will begin to combine to form complex systems that provide unimaginable capabilities, and 2017 may be a turning point.
cognitive ability
We first consider the cognitive system. Cognitive systems are systems that use natural language processing and machine learning to allow people to interact more naturally with machines, as well as systems that observe and learn from the events that occur around them.
Gartner, an information technology research and analysis company, conducted a cross-industry analysis of future technology trends in the “Technology Trends in the Next Year†report, which is a business strategist, chief innovation officer, R&D team leader, entrepreneur, emerging Technical teams and global market developers need to consider when developing their new technologies.
Virtual and augmented reality
The entire user experience of virtual reality is generated by computers. Complex virtual reality systems have been used in academic, industrial, and military applications for some time, but these systems are large and power-hungry and expensive enough to be used in commercial and personal applications.
The high-end Oculus Rift and HTC Vive VR helmets launched in 2016 have changed everything. This is followed by mid-range systems such as PlayStaTIon VR, and low-end systems such as Samsung's Gear VR and Google's Daydream.
When people experience the high-end system for the first time, it feels like the immersive feeling on Star Trek's omni-directional deck is really terrible. If a person is afraid of heights, he will feel his legs tremble when he finds himself standing on the edge of a virtual city high-rise.
Virtual reality systems The scenes of various games and applications are spectacular, and people have begun to consider combining virtual reality with cognitive abilities. Imagine yourself as an investigator of a mysterious murder in a game. You can walk around the big summer, check out the various physical evidence, and ask where the murders occurred when they were, what they were doing at the time, and Observe their reactions, such as they subconsciously look around, lick their lips and so on.
Perhaps even more exciting is augmented reality, which enhances (or supplements) the direct or indirect viewing of the real physical environment through computer-generated inductive inputs such as sound, video, text, graphics, and/or GPS data.
Augmented reality supports entertainment applications such as the fast-popular Pokémon GO. The game quickly evolved into a global phenomenon after its release in the summer of 2016. It is the most profitable mobile app in 2016, with more than 500 million downloads worldwide.
However, entertainment is only the tip of the iceberg of augmented reality applications. In fact, augmented reality may be applied to all aspects of human life.
Summary: What is really desirable is the combination of virtual reality and deep learning systems and cognitive capabilities. Suppose you want to repair something in your home. Cognitive Augmented Reality Robots, in addition to guiding you through the repairs, can also see where you put things (like screws) and find them when you need them. For example, if you are talking to a person who sells goods, your augmented reality system will listen carefully to the content of your conversation, and at the same time grasp some non-verbal clues, letting you know if they are telling the truth or lies.
Just a year ago, many people thought that the above concept was just an unreachable dream, and now these technologies are truly around us. I believe that in 2017, these technologies will be combined in an exciting, unpredictable and even surprising way.
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