When it comes to the future of computing, you should know that transistors built of materials other than silicon are shaping it. Approaches that have nothing to do with transistor speed are amplifying it. For instance, deep-learning software and the ability to crowdsource excess computing capacity to create distributed supercomputers. Moreover, it has the potential to reshape computing as a whole. Then, if you want to dig down further information about the surprising future of computing, this article of ArrowHiTech is for you. Let’s read it to come up with the right development direction for your business in the future.
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The surprising innovations for the future of computing
#1. Graphene-based transistors
First and foremost surprising future of computing is Graphene-based transistors. Graphene is known as a one-carbon-atom-thick material. For more details, it is more conductive than any other known material. Besides, it can be rolled up into tiny tubes and combined with other 2D materials to move electrons faster, in less space, and with less energy than even the tiniest silicon transistor. In fact, until recently, making nanotubes was too complicated and error-prone to be commercially viable. However, in 2019, MIT researchers came up with an advanced method for making a 16-bit carbon nanotube computer. Best of all, it successfully processed a series of instructions to produce a message that began with “Hello, World!”. As a result, the approach reduced nanotube flaws to the point where it could be scaled up from the lab to the factory in less than five years.
#2. Quantum computing
Generally, each bit can only be assigned a one or a zero by even the most powerful conventional computer. However, with Quantum computing, it can use quantum bits (or qubits) which can be a zero, a one, both at the same time or somewhere in between. Although Quantum computers are currently noisy and unreliable, in the next few years, it will be the best option for developing new materials and chemical compounds. Not only that, it also assists us to create unhackable communication channels. As a result, it can protect everything from financial transactions to troop movements.
#3. DNA Data storage
Coming to the future of computing, we can’t help but mention DNA data storage. Following that, you can encode data on synthetic DNA by converting it to base 4. Besides, a small amount of it can store a lot of data, in fact, some experts claim that a cubic meter of powdered e. coli DNA could store all of the world’s data for a year.
In addition, it is also extraordinarily stable. Specifically, many scientists have demonstrated by successfully reconstructing the DNA of a cave bear that died 300,000 years ago using a shred of bone. However, DNA-based data storage as a service could be available in a few years. This is because you’re unlikely to invest in your own gene editing tools.
#4. Neuromorphic technology
The main purpose of Neuromorphic technology is to build a computer that replicates the architecture of the human brain. As a result, it can achieve human levels of problem solving, even while using hundreds of thousands of times less energy than a typical transistor. Although this technology hasn’t been quite completed, in early 2020, Intel announced a new server based on neuromorphic chips that has nearly the same cerebral capacity as a small mammal’s brain. Additionally, a multinational team of researchers has linked artificial and biological neurons to communicate like a biological nervous system. However, they use internet protocols, in a development that would have previously been considered science fiction.
#5. Optical computing
The next surprising future of computing every business needs to know is Optical computing. In fact, optical computing refers to the capacity to compute with photons, simply speaking, mapping data onto light-intensity levels. Then, it adjusts the light intensity to do computations in its early stages. But it has the potential to offer high-efficiency, low-power processing and data transmission. In particular, at the speed of light, optical computing at the nanoscale might be achievable.
#6. Distributed computing
The last future of computing is Distributed computing. In reality, every computer that is in sleep mode or isn’t running at full speed has computer cycles that can be used for something else. Alternatively, a background client allows a computer to download workloads from a remote server, do calculations locally. And, then upload the results to the server.
In particular, Folding@home, which involves modeling protein molecules to identify solutions for many serious diseases, is at the pinnacle of this distributed model. The initiative now has about 750,000 participants and 1.5 exaflops of computing capacity, which means it can conduct a quintillion computations every second. Best of all, that accounts for 75% of the performance of the El Capitan supercomputer, which is slated to be the fastest in the world when it launches in 2023.
To sum up, although we are approaching the limits of what silicon processors can do, technology continues to advance. As new computing technologies push robots, artificial intelligence, nanotechnology, etc beyond today’s acknowledged limitations, its influence will only grow. All in all, with the rapid development of technology, the future of computing always contains a lot of surprises. Hence, each business must be prepared to anticipate future computing technologies and trends to further develop.