JEMTEC

  In the era of advanced technology and corporatization how our legal education should be to protect various type of human rights. How our law students should be equipped to protect their human rights and others. It is a challenge to the educator to develop legal education curriculum to cover unforeseen issues or challenges to the human rights due to advanced technology like cyber security, cyber fraud. This research paper highlights the human rights of children. Children have the same basic human rights as adults, but they need special attention and protection because they are more vulnerable due to their size and strength. There is international convention on the rights of child. Article 6.2 of convention provides right to survival and development. Right to protection and care that is necessary for their well-being. They have right to express their views freely, non-discrimination, to have safe environment, education. In the Constitution of India, preamble says about social j...

  Blockchain technology is a decentralized, distributed ledger system that securely records and verifies transactions across a network of computers. It has transformed industries by enabling transparency, security, and efficiency, removing the need for intermediaries. While blockchain is often associated with cryptocurrencies like Bitcoin and Ethereum, its applications extend far beyond digital currencies. Core Concepts At its heart, a blockchain is a chain of blocks, where each block contains a list of transactions. These blocks are linked together using cryptography, ensuring that once data is recorded, it cannot be altered without consensus from the network. Key characteristics of blockchain include: Decentralization : Unlike traditional centralized systems, blockchain operates on a peer-to-peer network. Every participant (node) has a copy of the blockchain, reducing reliance on a single authority and increasing resilience. Immutability : Transactions on...

  In the digital age, data science has emerged as a critical driver of growth and transformation across various sectors, with commerce being at the forefront of its applications. From e-commerce giants to small retailers, businesses are increasingly relying on data science to make informed decisions, enhance customer experiences, streamline operations, and gain a competitive edge. In modern commerce, data science has redefined how companies approach marketing, inventory management, customer service, and product development, among other areas. 1. Customer Insights and Personalization    One of the most significant contributions of data science to commerce is the ability to gain deep insights into customer behaviour. By analysing data from multiple sources – such as purchase history, browsing patterns, social media interactions, and demographic information – companies can understand customer preferences, predict purchasing trends, and segment audiences more effectively...

  Artificial Intelligence (AI) and Machine Learning (ML) are two of the most transformative technologies of the 21st century. AI is the broader concept of machines or computers simulating human intelligence processes such as reasoning, learning, problem-solving, and perception, while ML is a subset of AI that enables machines to learn from data without being explicitly programmed. These technologies are not only enhancing the capabilities of various industries but are also reshaping the way we live, work, and interact. At the core of AI and ML is the ability of machines to process large amounts of data, recognize patterns, and make decisions based on the information they process. For example, ML algorithms can analyze vast datasets, identify trends, and make predictions with high accuracy. These abilities have enabled innovations such as voice-activated personal assistants, medical diagnostic tools, fraud detection in finance, and self-driving cars. With continuous advancements in ...

  Screen less displays are an emerging technology that aims to present visual information to users without relying on conventional screens. Unlike traditional display systems, which use screens as an interface for visual interaction, screen less displays project or communicate visuals directly onto the air, human eyes, or a surface, making the viewing experience more immersive and, in some cases, more practical. This technology is particularly significant as it offers possibilities for more integrated and portable computing experiences, potentially eliminating the need for bulky monitors, tablets, or smart phone screens. Screen less displays have applications in industries ranging from healthcare and automotive to education and gaming. The types of screen less displays can generally be divided into three main categories: visual image, retinal direct and holographic displays. Each of these has unique characteristics and applications. 1. Visual Image Displays Visual image displ...

  Introduction Ubiquitous computing, often referred to as "ubicomp," represents the concept where computing is seamlessly integrated into everyday life, so much so that it becomes invisible. Unlike traditional computing, which requires direct user interaction with a device like a desktop or laptop, ubiquitous computing aims to embed computers into the environment, making them available anytime and anywhere without being overtly noticeable. This technological shift has profound implications on how we interact with the world around us, shaping industries, transforming user experiences, and raising critical ethical and societal questions. The term "ubiquitous computing" was first coined by Mark Weiser in 1988 at Xerox PARC. Weiser envisioned a future where computing devices were embedded in objects and spaces, enabling them to communicate, collect data, and offer services without requiring a user’s active engagement. At the time, Weiser’s vision seemed far-fetched, but...

  Business Intelligence (BI) has transformed with the advent of advanced technologies, enabling organizations to harness the power of data more effectively. These technologies not only streamline data processing but also enhance decision-making by providing deeper, more actionable insights. Here’s a look at the key advanced technologies shaping BI today: 1. Artificial Intelligence (AI) and Machine Learning (ML) Artificial Intelligence is revolutionizing BI by automating and enhancing data analysis. AI-driven analytics allows businesses to detect patterns, anomalies, and insights in data that may not be visible through traditional methods. Machine Learning (ML) models enable predictive and prescriptive analytics, helping organizations forecast future trends and make data-driven recommendations. ML continuously improves with the data it processes, delivering increasingly accurate predictions. Natural Language Processing (NLP) further enables BI platforms to respond to natural lang...