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Trials vs. Internet Vigilantism : Authoritative View

  1. In an era of internet vigilantism, would there be any impact on a fair trial due to interference of social media and public platforms ?  Ans. It depends on many factors. Social media can create public opinion based on half truths or misinformation, which can pressurize a judge to interpret evidence especially in a 50-50% chance case, in tune with the public opinion. A wavering judge may align his/her decision in favor of public opinion, lest he/she should be adversely criticized. But a trained judicial mind will not be influenced by external factors, but will be guided by the proof appearing from the evidence adduced in the case under trial. He/she will not succumb to the pressure exerted by social media. Similar is the case of prosecutors and investigators. Social media can easily affect a layman witness. It can affect the privacy of vulnerable victims also. Thus trial by media is a social evil. 2. With the rise of digital tools, how has the use of technology like digit...
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Case Study: Reported Rape Cases Analysis

Case Study  : Rape Cases Analysis Country : India Samples used are the reports of rape cases from 2016 to 2021 in Indian states and Union Territories Abstract : Analyzing rape cases reported in India is crucial for understanding patterns, identifying systemic failures and driving policy reforms to ensure justice and safety. With high underreporting and societal stigma, data-driven insights can help reveal gaps in law enforcement, judicial processes and victim support systems. Examining factors such as regional trends, conviction rates and yearly variations aids in developing more effective legal frameworks and prevention strategies. Furthermore, such analysis raises awareness, encourages institutional accountability and empowers advocacy efforts aimed at addressing gender-based violence. A comprehensive approach to studying these cases is essential to creating a safer, legally sound and legitimate society. This study is being carried out with an objective to perform descriptive a...

Everything/Anything as a Service (XaaS)

  "Anything as a Service" or "Everything as a Service."     XaaS, or "Anything as a Service," represents the comprehensive and evolving suite of services and applications delivered to users via the internet. This paradigm encompasses a wide array of cloud-based solutions, transcending traditional boundaries to include software, infrastructure, platforms and more. There are numerous types of XaaS: Software as a service Platform as a service Infrastructure as a service Storage as a service Mobility as a service Database as a service Communications as a service Network as a service  .. and this list goes on by each passing day  Most familiar and known services in Cloud Computing : Software as a service ...

Mathematics for Artificial Intelligence : Multivariate Analysis

 A simplified guide on how to prep up on Mathematics for Artificial Intelligence, Machine Learning and Data Science: Multivariate Analysis (Important Pointers only)   Module VIII : Multivariate Analysis  Multivariate analysis is a branch of statistics that deals with the observation and analysis of more than one statistical outcome variable at a time. It is used to understand the relationships between multiple variables simultaneously and to model their interactions. I. Principal Component Analysis (PCA). Principal Component Analysis (PCA) is a statistical technique used to simplify a dataset by reducing its dimensions while retaining most of the variance in the data. Important Concepts: Dimensionality Reduction : PCA reduces the number of dimensions (features) in the dataset while preserving as much variability (information) as possible. Principal Components : These are new, uncorrelated variables formed from linear combinations of the original variables. The first prin...