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Artifical Intelligence and Machine Learning

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  Artifical Intelligence and Machine Learning  The roots of Artificial Intelligence and Machine Learning are deep, tracing back to the mid-20th century. Alan Turing, a notable figure in the development of theoretical computer science and artificial intelligence, posed the question "Can machines think?" back in 1950. This ignited the spark that fuelled decades of innovation. The term "Artificial Intelligence" was coined by John McCarthy for the 1956 Dartmouth Conference, the first academic conference of its kind. Machine Learning, on the other hand, made its debut in the late '50s when Arthur Samuel developed a program that could learn to play checkers. Fast forward to the 21st century, we've witnessed the evolution from rule-based systems to machines that can learn from vast datasets and even from their own experiences. The milestones are numerous, from IBM's Deep Blue defeating world chess champion Garry Kasparov in 1997 to the advent of deep learning w

5G and Beyond

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           5G and Beyond 5G network have evolved to improve mobile broadband services by increasing communication speeds, reducing latency, and improving reliability. SK Telecom, the largest mobile operator in South Korea, launched the World’s First commercial 5G service, in April 2019. Today, there were 127,50 deployments in 128 countries as of Nov 30,2022. India launched its first 5G network in Oct 2022, making one of the most rapid nationwide 5G network deployment in the world. Moreover, India’s 5G network ranks among the top-performing networks globally. 5G is designed to do a variety of things that can transform our lives, faster download speeds, more capacity and connectivity for billions of devices-especially in the area of virtual reality (VR), the IOT, and AI.  It generating 22.3 million jobs in the 5G global value chain alone. In India, 5G telecom networks are expected to represent nearly 2% of GDP by 2030. The 5G sector will generate revenues of nearly $180 billion by 2030.

AUTONOMOUS VEHICLES “WHERE TECHNOLOGY DRIVES ”

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                                AUTONOMOUS VEHICLES “WHERE TECHNOLOGY DRIVES ” A Journey Through Time: The Evolution of AV The concept of self-driving cars began with Leonardo da Vinci's 16th-century designs and progressed through Francis P. Houdina's 1925 radio-controlled car and Norman Bel Geddes' 1939 futuristic visions. Major advancements came with DARPA's 2004 and 2008 challenges, which demonstrated the viability of autonomous technology. Mobileye then revolutionized the field by integrating advanced sensors and mapping into vehicles, paving the way for the widespread adoption of self-driving cars. Inside Autonomous Cars: The Role of Sensors, Algorithms, and Machine learning Autonomous cars rely on sensors, actuators, complex algorithms, machine learning systems, and powerful processors to execute software. Autonomous cars create and maintain a map of their surroundings based on a variety of sensors situated in different parts of the vehicle. Radar sensors monitor

Natural Language Processing

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  Natural Language Processing Natural language processing (NLP) is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language. Organizations today have large volumes of voice and text data from various communication channels like emails, text messages, social media newsfeeds, video, audio, and more. They use NLP software to automatically process this data, analyze the intent or sentiment in the message, and respond in real time to human communication. It also enhances customer-facing application by automating response to common queries which reduces costs, saves time and improves customer satisfaction.AI, particularly NLP, helps analyze surveys and reviews. NLP translates textual data into actionable insights. Topic modeling and machine learning identify trends and hidden patterns. Applies to various text sources like emails, reviews, and social media. NLP reduces operational costs and  Benefits various sectors by optimizing r

Bio-Technology: A Revolution In The Making

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  Bio-Technology: A Revolution In  The Making Biotechnology is a branch of science that combines biology and technology with the aim of improving people’s quality of life. As the world faces challenges such as climate change, food insecurity, and health crises, biotechnology offers innovative solutions that are increasingly becoming indispensable. Its history can be traced back to thousands of years to agriculture, domestication of plants and animals, fermentation of alcoholic beverages. Biotechnology is a rapidly evolving field with applications in medicine, agriculture, food industry, genetic engineering, industrial biotechnology and environmental sustainability. In medicine it is used in the diagnosis of disease, due to its ability to perform very complicated tests in a shorter time and at lower cost. In agriculture and environment sustainability, biotechnology is used to develop crops that need fewer resources\and produce less waste, helping to protect the environment and ensure fo

Smart Cities

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  Smart Cities Smart cities are urban areas that use digital technology and data to improve the quality of life for their residents, enhance the efficiency of services and promote environmental sustainability .The beginning of present day "SMART CITIES" can be traced back to 1974 when the first urban big data project known as 'A cluster Analysis of Los Angeles' was initiated by Los Angeles. This was the first step in visualising the concept of "SMART CITIES". It was evolved to pioneering initiatives in Kyoto, Japan(1995) and other global cities such as Singapore, Barcelona,etc. As it gained momentum in the 2000's and 2010's cities like New York, London and Dubai to embrace sustainability, citizen engagement, urban planning,etc. In India too, PM Modi launched the Smart Cities Mission in 2015, with the goal of developing 100 smart cities across India. A smart city requires strong internet connectivity, smart infrastructure with sensors and real time da

Block Chain

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              Block Chain       The concept of a blockchain-like protocol was first proposed by David Chaum in 1982 and further developed by Stuart Haber and W. Scott Stornetta in 1991 to create a tamper-proof system for document timestamps. They later enhanced it with Merkle trees to improve efficiency. The first decentralized blockchain was introduced by Satoshi Nakamoto in 2008 as the core of Bitcoin, using a Hashcash-like method for secure block creation without a trusted party. The term “blockchain” became popularized by 2016. Despite early adoption in financial services, widespread implementation of blockchain technology has been slow, with only a small percentage of CIOs recognizing it as transformative by 2019. Blockchain is a type of database that’s a public ledger for recording transactions without the need for a third party to validate each activity. It’s distributed across a P2P network and consists of data blocks linked together to form a continuous chain of immutable reco