1. Augmented and Virtual Reality (AR and VR)
Viewing these new inventions, we have Augmented Reality and Virtual Reality technology at first to come in the topmost innovative technologies. As we know, augmented reality is an indirect view of physical, real-world environment whose elements are augmented by computer-generated or extracted real world sensory input such as sound, video, graphics, or GPS data. Virtual reality, on the contrary, replaces the real-world with the simulated one. The person is made to believe that he is kept at some random place and experience the same with the visualized effects and with the headset placed at the head.
This technology is proving to be the leading-edge technology with low power envelope. The requirements for these techniques are very high though, but still, they are heading towards being very realistic and perceivable for the users. The major requirements include cameras, vision processing lenses, and graphics. It provides computer-generated experiences that offer unprecedented levels of realism.
The other very important question is: Is the future VR and AR? Well, it is clear that this is the best invention in terms of facing the real world entities so yes, it can be the future. VR hardware is considered as the best one to use for gaming applications. Google has been experimenting with its Tango, which is its AR platform for certain mobile phones. Apple too has announced its own AR platform which it terms as ARKit, for the new iOS devices.
3. Self Driving Car
The next very important innovation is that of autonomous cars or driverless/ self-driving/robotic cars. In this era, where people seek for a comfortable and carefree life, this new technology is very well suited. Gone are the days, when people hired a chauffeur to take them to their respected workplaces, these driverless cars have their best services to offer. It has come along with the new coolest and safest features that ensure people to spend their time relaxing while it drives itself along the road.
A driverless car is a robotic car which is designed to drive itself without human intervention. Companies developing the driverless cars include Audi, BMW, Ford, Google, Volkswagen, and Volvo. Google's test involved a fleet of self-driving cars - six Toyota Prii and an Audi TT - navigating over 140,000 miles of California streets and highways. The test was a huge success apart from a minor failure held during one of the infrequent occasions when a human was driving.
Most importantly, you must be wondering about how do these cars work. Well, firstly, the driver sets the destination and the control system of the car, analyze the route by several techniques to detect their surroundings such as radar, laser light, GPS, odometry, and computer vision. These advanced control systems interpret sensory information to identify various paths across which it is set and move along detecting any sorts of obstacles. It also has an ability to read the signboards so as to get information about the roads.
Recently Barak Obama explicitly made the case for putting people inside of robots and moving them around. The government sees driverless cars as both inevitable and good. The essential part of the policy is to avoid having 50 different, competing for a set of rules for driverless cars between states. So, the states are responsible for determining liability rules for HAV. According to sources, Uber's self-driving car fleet will hit the road soon and Fords to launch its autonomous cars on road by 2021.
5. Artificial Intelligence
This is another very important part to cover the smartest technology to watch in next five years. Its major part is the new developing era of the computing system. AI can perform tasks such as identifying patterns in the data more efficiently than humans, enabling businesses to gain more insight out of their data.
The major role of an Artificial Intelligence is to create expert systems, which exhibit intelligent behavior for the benefits of the users and to implement human intelligence in machines, by creating systems that understand and learn human perception.
The major applications of Artificial Intelligence are gaming, natural language processing, expert systems, vision systems, and speech, handwriting and face recognition. Robots are a quintessence of the Artificial Intelligence. They have common human properties in them and can perform tasks in a much more easier and advanced way in terms of mechanical work than the humans. They exceed the level of working capabilities than the humans.
7. Internet of things (IOT)
Next to come is IOT and IIOT technology, which is most familiar to the consumer in the form of smartphones, tablets, and smart home devices. These are basically the devices that take the internet to use for their functioning like tracking calories, ordering online, and even getting a ride. The main purpose of designing IIOT devices is for automation and optimisation. It has a wide range of features that can help the customer with his daily smart appliances. It includes sensors which can detect when machines need maintenance, generate automated reports for machine errors.
Industry 4.0 is the leading tech to the use of an enormous amount of data exchange and automation. "The generation of a smart technology for the smart world". Industry 4.0 is also termed as the smart factory where people will look up to the more advanced technology of the internet.
9. Edge and Fog Computing
Edge computing is a method of optimising cloud computing systems by performing data processing at the edge of the network, near the source of the data. It has a list of advantages though it imposes certain limitations in the application servers or the technological platforms which are not yet synchronized with the edge computing. Some of the major advantages of the edge computing are:
1. It reduces the space occupied by the data that is to be moved, the consequent traffic, and the distance the data must travel thereby reducing the transmission costs and would provide a very good quality of service.
2. It reduces or scratches out the core computing environment, limiting or removing the gradients of failure.
3. It provides a better-secured environment for the user with the help of the encrypted data towards the network core. It protects the data by the firewalls and other secured methods where viruses, compromised data, and active hackers can easily be traced and removed.
Fog computing helps to enable a single, powerful processing device to process data received from multiple endpoints and send information exactly where it is needed.
Comparing it with edge computing, fog computing is more scalable as it provides the centralized processing body a bigger view of networks by multiple data points delivering the information.