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Showing posts from January, 2022

Blockchain Technology

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  History of Blockchain: First and foremost, let us go through some facts and stats that the web has to offer us regarding the emergence of Blockchain. ·        The first decentralized blockchain was conceptualized by a person (or group of people) known as  Satoshi Nakamoto  in 2008. Thus, blockchain got its first real-world application with the launch of Bitcoin in January 2009. ·        Moreover, Cryptographer  David Chaum is said to be the  first one to propose a blockchain-like protocol in his 1982 dissertation "Computer Systems Established, Maintained, and Trusted by Mutually Suspicious Groups. Later in the late 1990s,  Cypherpunk   Nick Szabo  proposed using a blockchain how to secure a digital payments system, known as  bit gold  (which was never implemented). ·        Blockchain as technology was first outlined in 1991 by Stuart Hab...

5G Technology

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  Introduction: - The previous generations of mobile networks are 1G, 2G, 3G, and 4G. as the time passed, need of high-speed internet increases which current 4G cannot fulfil which led to rise of 5G which is designed to provide more connectivity than was ever available before. With high speeds, superior  responsibleness  and negligible latency, 5G  can  expand the mobile  scheme  into new realms.  5G will impact every industry, making safer transportation, remote healthcare, precision agriculture, digitized logistics and more a reality. This network improvement will have far-reaching impact on how people live, work and play all over the world.  Let’s see what  specifically  5G is! What is 5G? 5G is the 5th generation mobile network. It is a new global wireless standard after 1G, 2G, 3G, and 4G networks. 5G enables a new kind of network that is designed to connect virtually everyone and everything together including machines, ob...

What is TinyML?

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  TinyML focuses on optimizing machine learning (ML) workloads for processing on microcontrollers as small as a grain of rice and utilizing only a few milliwatts of electricity. TinyML provides intelligence to little devices. We mean minuscule in every sense of the word: as small as a grain of rice and requires very little energy. TinyML, which has the support of Arm, Google, Qualcomm, and others, has the potential to transform the Internet of Things (IoT), where billions of tiny devices based on Arm chips are already being used to provide greater insight and efficiency in consumer, medical, automotive, and industrial sectors. Why target microcontrollers with TinyML? Microcontrollers such as the Arm Cortex-M family are an ideal platform for ML because they’re already used everywhere. They perform real-time calculations quickly and efficiently, so they’re reliable and responsive, and because they use very little power, can be deployed in places where replacing the battery ...