The advancements in technology are accelerating in all fields. For example, mobile telephony and increasingly faster broadband networks changed the global landscape creating unprecedented digitalization throughout industries and other walks of life.
Some analysts suggest Intel is on track to regain the insane pace of Moore’s Law once again. Cutting edge computing still challenges the exponential growth of Moore’s Law, despite manufacturers struggling to create smaller physical components. Such fast computer chip developments are incremental to overall technology advancement, and computing power lies behind many crucial technologies that are now developing and will become mainstream tomorrow.
Distributed Cloud solutions
Cloud computing has been a rising trend for over a decade, and the development is only accelerating. As a result, many organizations use several cloud solutions at once, distributed throughout various data centres and providers.
The future of the cloud is slowly outlined in present solutions, and it will become increasingly decentralized and distributed. The cloud app will be the focal point, and hosting can be in several locations. The prerequisite for such distribution is flawless, fast networks with low latency, and we already have pretty intelligent solutions.
The most significant benefit of the distributed cloud is handling more requests and being less vulnerable to outages.
IGaming platforms host thousands of games, and customers demand a perfect gaming experience. There is no excuse for lacklustre delivery if you play online slots UK. Cloud gaming is one of the areas where performance might increase with this approach. For now, iGaming websites manage to provide a seamless experience, and when tech development brings higher resolutions and more features in the games, the distributed cloud could be the future.
Autonomous vehicles
Throughout the world, different companies are working on driverless vehicles. While there are some limited applications for autonomous cars globally and semi-autonomous concepts, we could expect fully automated driverless vehicles in the future.
A few things must align to make such vehicles a reality. Autonomous vehicles must communicate with others in traffic, and they have to communicate with the infrastructure. Development of the 5G networks can become one of the missing parts because of the fast speeds and low latency. Autonomous vehicles will need an IoT-type network to communicate and drive around effectively.
Artificial Intelligence
Artificial intelligence is more about machine learning algorithms than the actual AI. Instead of one overarching AI that can autonomously exist, current AI has pieces of very advanced machine learning algorithms that can do parts of the work. The prime example is smartphone cameras, where limited AI can detect the scene and adjust colours, tones, and exposure accordingly.
AI is a highly sought technology already used in healthcare, surveillance, social media, entertainment, etc. We can expect conversational AI in the next decade. Intelligent assistants like Google Assistant, Alexa and Siri or chatbots can resolve numerous user queries. We should get used to advanced AI capabilities that can help people and have meaningful conversations in the future.
AI is crucial for robotics. For example, we already have intelligent vacuum cleaners and lawnmowers that use advanced sensors to fulfil their tasks. However, they will become increasingly independent, and with AI development, they will have more features outside their primary duties.
Quantum computing
Quantum computing is next level computing with hardware designed for complex problems supercomputers can’t handle. For example, classical computers use bits to perform operations, while quantum computers use qubits to run multidimensional quantum algorithms.
In lame terms, it’s similar to the difference between a classic hard drive and SSD, where the latter can send and receive large data sets at once, while the hard drive has a magnetic needle that reads from the disk at a much slower pace.
The issue with a quantum computer is unstable conditions, and they need frigid surroundings. So, IBM and other quantum computer manufacturers use superfluids close to zero to maintain a temperature cold enough to create superconductors.
Quantum computing uses superposition and entanglement properties of quantum mechanics to create algorithms. Because of the much more complex qubits, quantum computers can tackle natural systems and chemical reactions; traditional computing can’t manage, even with the most powerful supercomputers. As a result, quantum computers can be practical tools to better understand the world and universe.
Resources are still scarce, and quantum computers are few and in-between, but the technology is rapidly developing and could complement classic computing power in the future. The good news is that programmers won’t have to learn new languages from scratch, and there are already available tools to get started with quantum programming.
Realistically, quantum computers will be in a couple of institutions, and to use them, you will have access similar to supercomputers. You will probably use cloud solutions to take advantage of the superior complexity of quantum computing because, at first, those machines won’t be broadly available like regular computers.
Editor-in-Chief | Seat42F, a leading source of entertainment news, information, television and movie resources.
