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What’s The Next Big Thing?

There is nothing that fascinates more every individual then to know what the future beholds. The technology is evolving at a very high speed and we constantly have to keep our momentum going to keep the pace with it. There has been some very amazing technological transformation over the past few years. Just when we thought that nothing can replace the Native technology, Hybrid took over. That the most impressive thing about the technology that nothing is constant. A lot of things have been said and done but the question still remains unanswered, what is the future? Well, we are determined to solve this tricky puzzle for you. Let’s she how –

Augmented Reality : Augmented reality is technology that combines virtual reality with the real world in the form of live video imagery that is digitally enhanced with computer-generated graphics. Even though the Augmented Reality is in the town from quiet sometime but it wasn't until Android and iOS smart phones came equipped with GPS, camera and AR capability that augmented reality made its impact in the public. The number of AR apps for the iPhone and Android devices has expanded dramatically, and they aren't just limited to games. Retailers are showing tremendous interest in AR possibilities like AR headsets, AR apps for navigation, Sightseeing etc. AR has many advantages:

  • It is convenient to use
  • Inexpensive compares to the AR hardware
  • Easily available in in Apps

Internet of Things :Can a car talk to a house? In the future, your car might tell your house that you are five miles away and please turn on the lights and warm up the house. Sounds very appeasing right? This is an example of an idea called the “Internet of Things” or IoT. The Internet of Things (IoT) connects dumb devices like refrigerators, cars, Fan etc to the internet and uses software to connect them to our daily lives. Because wi-fi networks have become so common, objects like refrigerators, washing machines, and cars can include internet access with software to make use of the internet connection. But how do you do that? How do you make non - living this work. Well, it is not as complicated as it might seem to you. All you need are:

  • Sensors to detect inputs from the world around them.
  • Software to look at sensor data then follows algorithms to make decisions about how to respond to data.
  • Software to manage the operation of a device which includes one or more sensors.
  • An internet connection to transmit and receive data and instructions from other devices.
The Internet of Things, or IoT, now connects the billions of physical devices around the world through to the internet, for collecting and sharing data.  This adds a level of digital intelligence to devices that would be otherwise dumb, enabling them to communicate without a human being involved, and merging the digital and physical worlds.

Machine Learning : As the name implies Machine Learning or ML, gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. In short it gives the computers the Ability to learn, similar to humans.

The process of Machine learning begins with observations or data, such as examples, direct experience, or instructions, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions acc

Machine learning is actively being used today, perhaps in many more places than one would expect and many a times without knowing that we are even using it. A few of the popular applications that uses Machine Learning includes:

  • Web Search Engine: One of the reasons why search engines like Google, Bing etc work so well is because the system has learnt how to rank pages through a complex learning algorithm.
  • Photo tagging Applications : Be it the Facebook or Instagram or any other photo tagging application, it is all possible because of a face recognition algorithm that runs behind the application.
  • Spam Detector: Our mail agent like Gmail or Hotmail does a lot of hard work for us in classifying the mails and moving the spam mails to spam folder. This is again achieved by a spam classifier running in the back end of mail application.
We can write a program to do simple things. But for most of times Hardwiring Intelligence in it is difficult. Best way to do it is to have some way for machines to learn things themselves. A mechanism for learning. This is the closest we have understood and mimicked the human brain. It is the start of a new revolution, The real AI. 

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