DARQ is referred to as Distributed Ledger Technologies, which include technologies such as artificial intelligence (AI), blockchain, cryptocurrency, extended reality, and quantum computing.
These technologies together are called DARQ (Distributed Ledger Technologies, Artificial Intelligence, Extended Reality, and Quantum computing). These technologies and their applications have grown very rapidly over the past few years and will be growing exponentially in the coming decade.
AI plays a critical role in optimizing processes and influencing strategic decision-making. XR, an immersive technology, creates entirely new ways for people to experience and engage with the world around them.
Distributed ledgers are perhaps best known in the context of cryptocurrencies, but they are expanding networks and capabilities by eliminating the need for trusted third parties. And quantum computing, the DARQ technology that remains the most experimental, will usher in novel ways to approach and solve the hardest computational problems.
But collectively, the DARQ technologies will also power the innovation and opportunity uniquely associated with the coming post-digital era.
As the business landscape transitions into a combination of digital natives and businesses well into their digital transformations, DARQ is the key that will open unimagined new pathways into the future.
What is DARQ in detail?
Artificial Intelligence (AI)
Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. The term “artificial intelligence” is often used to describe machines (or computers) that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem-solving”.
As machines become increasingly capable, tasks considered to require “intelligence” are often removed from the definition of AI, a phenomenon known as the AI effect.
Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars, intelligent routing in content delivery networks, and military simulations.
Businesses and companies are automating tasks and thus reducing the human effort in machinery work, rather employees are being engaged in more productive works where human interaction is a must.
AI can be used extensively by many businesses/companies as well government to process large data, get accurate results, and to some extent predict the outcomes.
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Extended Reality (XR)
Extended reality (XR) is a term referring to all real-and-virtual combined environments and human-machine interactions generated by computer technology and wearables, where the ‘X’ represents a variable for any current or future spatial computing technologies e.g.
It includes representative forms such as augmented reality (AR), mixed reality (MR), and virtual reality (VR) and the areas interpolated among them. The levels of virtuality range from partially sensory inputs to immersive virtuality also called VR.
XR is a superset that includes the entire spectrum from “the complete real” to “the complete virtual” in the concept of reality–virtuality continuum. XR is a rapidly growing field being applied in a wide range of ways, such as entertainment, marketing, real estate, training, and remote work.
Distributed Ledger Technology (DLT)
A distributed ledger (also called a shared ledger or distributed ledger technology or DLT) is a consensus of replicated, shared, and synchronized digital data geographically spread across multiple sites, countries, or institutions.
Unlike with a distributed database, there is no central administrator. A peer-to-peer network is required as well as consensus algorithms to ensure replication across nodes is undertaken. One form of distributed ledger design is the blockchain system, which can be either public or private.
Although a lot of research and development is going on in this field, this technology is surely going to rise in the coming decade. With more focus on privacy on data, many big social networking sites are set to implement this model into their system, to achieve privacy as well as prevent data breaching attacks.
Quantum Computing (QC)
Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers. Quantum computers are believed to be able to solve certain computational problems, such as integer factorization (which underlies RSA encryption), substantially faster than classical computers. The study of quantum computing is a subfield of quantum information science.
There are several models of quantum computing, including the quantum circuit model, quantum Turing machine, adiabatic quantum computer, one-way quantum computer, and various quantum cellular automata. The most widely used model is the quantum circuit. Quantum circuits are based on the quantum bit, or “qubit”, which is somewhat analogous to the bit in classical computation.
Qubits can be in a 1 or 0 quantum state, or they can be in a superposition of the 1 and 0 states. However, when qubits are measured, the result of the measurement is always either a 0 or a 1; the probabilities of these two outcomes depend on the quantum state that the qubits were in immediately prior to the measurement.
There are various approaches to implementing quantum computers, for example, quantum simulation, quantum annealing, and adiabatic quantum computation. Technologies such as transmons, ion traps, and topological quantum computers use quantum logic gates for their computations.
All of these approaches use qubits. There are currently a number of significant obstacles in the way of constructing useful quantum computers. In particular, it is difficult to maintain the quantum states of qubits as they suffer from quantum decoherence and state fidelity. Quantum computers, therefore, require error correction.
In recent years, investment into quantum computing research has increased in both the public and private sectors. In 2019, Google AI, in partnership with NASA, claimed to have performed a quantum computation that is infeasible on any classical computer.
So, what can we conclude from this? DARQ technologies are so powerful and influential, that one should not underestimate the power of it. These technologies have much potential to change the way we think and find solutions to our problems, the way we do business, or the way governments make decisions for the public.
DARQ is a new concept and it is in a highly experimental stage at this stadium. Our personal opinion is that most focus should be put on Quantum Computing.
Yes, it is a concept that is there for ages, but it opens endless horizons for experimentation, trying, and discovering new things.
Following rules that comes from a world much different than ours, from a world in which laws carefully applied here, can change everything, improve everything, find new medical drugs, cure cancers, battle with pandemics, or just in simple words, elevate the human civilization to the next level.
You see, it sounds, just like AI, but it is completely different, and combined with AI, as DARQ suggests, will be the answer to all unknown.
Like with every post we do, we encourage you to continue learning, trying, and creating.