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You might think we are at the peak of innovation and future technology; you may be right.

There was a time when the scientists of the time thought that they had discovered everything; that all stones had been turned. Imagine how surprised they would be today.

The good thing is we can classify where we are heading based on existing fields of technologies. These fields of future technology can be expanded into an almost infinite number of branches. Here is a top 10 list of those branches we will be seeing a lot of soon.

Immersive media

This branch is under computer vision. The success of augmented reality in the gaming world has brought about a surge in innovations in this field. We should begin to see more human computer interaction in the virtual reality realm in a few years’ time.

Deep Learning

Deep learning is under Machine learning which is also under Artificial intelligence. What deep learning is trying to achieve is to get as close to artificial intelligence as possible.

Deep learning basically involves a system learning to carry out a certain task repeatedly, and learn something new each time it carries the task. Essentially, the more the system learns, the better it gets. I know that just sounded scary, like some Skynet Terminator kind of scary. It is scary.


Internet of things (IOT) is a collection of objects and devices that accumulate vast amount of data. All these data is then stored in a cloud-based system where the data can be analysed and used to generate information. A branch of this is the Industrial Internet of Things (IIOT) which mainly focuses on manufacturing.

IIOT fundamentally is a network of devices that speak to each other to form systems that can collect, monitor and even analyse data. The end product of this is producing faster, more accurate and smarter business decisions.

Natural Language Generation

Big companies have enormous amounts of data. Before these data can be processed to produce information, we often have an individual or individuals who analyse the data to try to understand it. With Natural Language Generation, it is possible for the data to be analysed by the system, producing an output that is easier to understand and process into information.

Edge Computing

Edge computing is a part of Internet of Things. Here, instead of computation of data happening on a centralised location like the cloud, computation is carried out on the device being used. This eliminates the time taken to transfer the data, increasing speed and performance.

An example can be system of systems that has different devices that bring the whole system together. Instead of each of these devices sending data to a centralised location, all the data can be processed in the system and only relevant, clean data would be sent to the centralised location.

Quantum Computing

The best way to explain this is to give an example by comparing quantum computing to conventional computing.

A conventional computing system tries to find the end of a maze from the start point. If it reaches a dead end, it goes back to the start and follows another path till it finds the end of the maze.

Quantum computing uses quantum particles. These particles are strange. In the maze experiment, one particle can act as multiple particles as stated in the uncertainty principle. This means a quantum just has to carry out the operation once to find the end of the maze. The result of this is an incredibly fast computer system.

Digital Twin

This is a combination of Artificial intelligence and Machine learning. It is really virtualising the physical. Basically, you create a virtual part of a physical asset. Hence the word “Twin”.

A typical application of this is in the automobile sector. A car that has been designed on paper can be built, tested and simulated in the virtual world. So issues that might arise when the car is physically built can be sorted out in the virtual space.

Distributed Ledger Technology

This future technology provides a way to share valuable information across a network to interested parties. This information can be replicated and even updated all over the network. If there are multiple updates, a consensus algorithm checks to see which information is correct and this is then updated across all the nodes. The information is usually encrypted and can only be decrypted by the assigned individuals.

A typical example of this kind of system is Block-chain.

Additive Manufacturing

This field basically deals with 3D printing. Layers and layers of materials are added on top of each other to produce all sorts of objects. In additive manufacturing, most of the objects produced are used in industries as parts and even machines themselves.

Fundamentally, it creates physical objects from digital designs which makes it one fascinating future technology.


There is no how this field wouldn’t be in this list. The potential for nanotech is vast, from military to medical applications. There is a lot of research going on in this field. One of which is the use of nanotechnology to cure diseases like cancer. This involves programming nanoparticles to carry out operations to kill cancer cells.

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