AI, NLG, and Machine Learning
2020 and Beyond: The Future of AI
As AI grows and becomes much smarter, it will continue to overhaul every possible domain’s operations.
July 16, 2020
Artificial intelligence (AI) is a technology that has grown superior to what it was a couple of years earlier. Although the machines are still not as intelligent as the humans (at least for now), the way they’ve evolved has led them to mimic humans in ways that are strikingly similar—so much so that some robots even mimic human emotions with fair accuracy.
The future of AI will see a huge impact on automated transports. Humans are generally fragile and tend to make mistakes, especially when it comes to transportation and driving. Automated transportation will ensure there are fewer accidents. This will also allow the transportation systems to flourish, thereby giving industries the ability to generate millions of dollars in revenue.
Another way AI will evolve is its use in conjunction with our brains. Augmentation is a hot topic, and the future for it looks promising—especially when coupled with artificial intelligences. Research is extremely positive when it comes to AI augmentation in the future.
Hazardous jobs, too, will be a thing of the past—well, for the most part. AI will be able to handle many of them, as it doesn’t understand the concept of pain and can be reassembled if destroyed. This opens a lot of scenarios, such as that of in bomb defusing.
Also, AI can be used to solve a number of problems associated with our environment today. AI, in congruence with big data and other technologies, can help solve problems such as climate change, natural calamities prediction, and more. Even though there’s a fair bit of time before we reach that point, the possibilities are endless.
New area of research: Gesture-controlled AI
As machine learning continues to evolve and organizations begin to realize the fact that they can, in fact, teach computers how to respond to visual inputs more effectively, gesture-controlled technology, too, will evolve by leaps and bounds. As far back as 2010, Microsoft came out with its Kinect motion controller. It used motion-capturing capabilities to free the players from the physical input devices of the past.
When you combine these gesture-controlled devices with the basic elements of AI, you’ll find a much more effective gesture-controlled AI that can learn the individual quirks and characteristics of people who use them. For example, a device like the Kinect could learn what running looks like in the context of the players that use a specific system. This means that it would be able to record activity more accurately.
While gesture-controlled devices have a lot of implementations in the entertainment industry, they could also support a wide range of other applications, too. For example, talking about sports, companies have already begun to develop coaching applications using gesture-controlled devices to help players get better at the sport they play. Alternatively:
In retail. Digital display and signage points can be controlled far more easily, without any hygiene issues, by using gesture controls instead of touch controls. This will enable customers to engage with information in a more fast-paced and convenient way.
In transportation. These devices could help minimize the distractions behind the wheel. As transportation manufacturers come up with much more natural ways for drivers to control the infotainment systems, gesture-controlled AI could keep an eye on the road.
In technology. Drone manufacturers are already creating drones that can fly without the need for remote control.
As new IoT solutions emerge and the digital world becomes more advanced, a natural touch-free interface could be a great way to help users engage with intelligent environments and devices.
We’ve covered a very limited set of possibilities for the future. As AI grows and becomes much smarter, who’s to say what all the future might have? All we know for sure is that AI is overhauling—and will continue to overhaul—every possible domain’s operations.