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Hercules Pappas Disruptive Tech

There are so many technological innovations happening all the time that it can be kind of hard to keep up. When you imagine the near future, it’s easy to think of just how crazy things might get. Examine the following disruptive technologies of the future to learn a little bit about how technology will be changing things soon. All of these technological innovations are poised to take the world by storm before too long and it’s good to be ready for them. 

5G

5G is probably the most famous technology of the future that is already starting to roll out in the United States. This is going to make internet speeds significantly faster for everybody and it’ll also make more things possible. Faster speeds will lead to more innovation in various fields and it’s an exciting time for everyone. When it comes to consumer entertainment, 5G is going to be an obvious upgrade that will make many things more fun for you. 

Augmented Reality and Virtual Reality

Both augmented reality and virtual reality are already here, but they’re going to be much more prevalent in the near future. Most experts agree that augmented reality will be important for delivering data on various displays and improving user experiences when using many products. Virtual reality has great potential for training professionals and it might also become more popular for entertainment than it currently is. Many people are taking the idea of virtual reality concerts much more seriously after the COVID-19 pandemic. 

Unsupervised Machine Learning

You might have heard about machine learning at some point due to how much potential it has in various sectors. Unsupervised machine learning is different because it gives it the chance to recognize patterns that humans don’t know about when looking at data. This could lead to entirely new takes and new pieces of information being recognized. Most experts believe that unsupervised machine learning is going to be a big part of research in the near future. 

Natural Language Processing

Natural language processing has the ability to help AI to recognize speech patterns much better. At the moment, voice patterns can be recognized, but everyone wants AI to be able to respond to human language more intelligently. If it can learn to recognize slight changes in human speech such as an emphasis on certain words in a sentence, then that completely changes things. Moving forward, natural language processing is going to make voice recognition technology a lot more useful.