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Blockchain and edge computing
Information Technology

How Blockchain and Edge Computing Support Each Other?

Apr 9, 2020
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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
Information Technology

The Future of Machine Learning

Apr 1, 2020
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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.

The DARQ Age: Coming Era for Technologies
Information Technology

The DARQ Age: Coming Era for Technologies

Mar 17, 2020
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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.