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How Blockchain and Edge Computing Support Each Other?

Both edge computing and the blockchain are part of these emerging technologies. The edge computing is an advanced and extended form of cloud computing, with collaboration to the internet of things. On the other hand, the blockchain is the main underlying technology of the currencies with the help of the internet of things. Both of these are working on the networks and share the data through the networks. Edge computing and blockchain can hold their backs in their own ways like the blockchain can provide the decentralized marketplace for edge computing whereas edge computing can provide the low latency infrastructure to the blockchain for better performance. For your convenience, I am starting with some introductory parts for both of them.

The Future of Machine Learning

In this era of artificial intelligence, machine learning is the most trending topic ever. Machine learning is a component of Artificial Intelligence Technology. This enables the machines to use its complex algorithms and allows the machines to autonomously learn from the data sets, and continuously make decisions on a specific task by improving the efficiency of the machines. It mainly focuses on computer programs, with the primary aim to make them automatically able to learn from the data and make decisions without any human interference.

Automation is Everywhere: Autonomous Driving

Automation is everywhere surrounding us. With the advancements in the technologies, the computers with its calculation power and better sensors are controlling our daily life tasks, like we use washing machine, dishwasher, refrigerator in our home, also we see the automated doors in buses and shopping malls, these all are controlled by the computers and these all are the automation in our daily life. In a broader aspect, we can think about autonomous driving as an application of automation in our lives.

The DARQ Age: Coming Era for Technologies

The term DARQ consists of Distributed Ledger Technology as for D, Artificial Intelligence as for A, Extended Reality as for R, and Quantum Computing as for Q. The analytics and the researches show that almost 85% of businesses have experimented with one or more DARQ technologies into their businesses, and it is expected that DARQ technologies will provide a more competitive advantage that they have not experienced with the previously SMAC technologies, i.e., Social Media, Mobile-Friendly Application, Analytics, and Cloud Computing.

Artificial Intelligence in Cybersecurity

The increasing numbers of cyber attacks and cyber threats are continuously making today’s cybersecurity tools and human cybersecurity teams impossible to cope up with this latest malware problems. Even almost 56% of researches and surveys show that cybersecurity analysts can not cope up with the increasing numbers of malware. These cyber-attacks are growing in numbers on a daily basis and making it more complex to cope up with this. And reaching these hackers is also getting impossible as they can commit the theft or do harm in someone’s personal or professional resources remotely with the help of the latest technologies.

Recent trends of Quantum Computing

Quantum computers are a new and trending form of computation that solves the problems in a faster and quicker way, which will take longer times in the case of classical computers. It uses Qubits instead of the classical bits that classical computers use. The basic difference between the qubits and the classical bits lies in their shape and the nature of the data that they encode. The quantum computer has been in the experimental stage for so many years and it is still evolving. In the last year, the Quantum Computer has got so much attention with the inventions of Google’s “Quantum Supremacy”. And the research is also showing that the total market expenditure for Quantum Computing is going to reach up to $9.1 billion annually by the year 2030.

Natural Language Processing and RPA

NLP or natural language processing is a branch of computer technology. It actually smoothens the connection between human and machine by teaching the machines to understand natural human language both verbally and written. Don’t you think that why NLP, while using ML it is able to identify the data sets and make changes to it or perform some work on it? Then come to the main point.

The Emerging Growth of Cloud Computing

The term cloud computing stands for two purposes: one is for storage purposes and its virtualized concepts that can be accessed not only from the raw computers but also from the shared with devices too. And the other purpose is to work remotely from a public cloud. The key advantages of using the cloud are its capabilities to offer more abstract storage, computer power and also network resources. It also offers faster innovations and upgrades by using its flexible resources. It may be leveraged to reduce costs, but it is also the most important technological trends for the past 10 years.

Chatbots: Is it GOOD?

Chatbots are the greatest technological invention of the consumer application technology to date and taking place at almost digital places of the World. These chatbots are more trustworthy and more flexible utilized consumer applications technology by Artificial Intelligence and Machine Learning. And due to this growing machine learning technologies, the chatbots are getting highly used in every company or business across the world.