Q*: A New Era Dawn
Anand Rajendra Makasare, Mayank Padwal
Abstract
Among the many unprecedented developments that are being done in artificial
intelligence, there is one: Q*, an open-source project with huge disruption potential in
AI-generated video. Q* is part of a greater initiative called Open-Sora. The ultimate
goal was to take advanced video generation technology from its current ivory tower
status and give it to the world's researchers, developers, and content creators. This
article will expound on the possibilities that Q* offers in general, its core
technology, and some very interesting implications for the future.
Keywords
Q*, Open-Sora, AI-generated video, video generation technology, artificial intelligence.
Hailing with Algorithms: The AI Healthcare Revolution
Mihir Shinde, Alok Singh
Abstract
Artificial intelligence in health care is one of the mechanisms changing how we do
effects about judgments, treatment, and operation of conditions. In fact, this
metamorphosis would frequently be appertained to as 'healing with algorithms,' following
from the tremendous capabilities of AI realized in the improvement of delivery of health
care, enhancement in patient issues, and drop in charges. We'll thus outline how AI is
going to change health care, its operations, benefits, challenges, and unborn geography.
Keywords
AI in Healthcare, Medical Algorithms, Patient Care, Healthcare Revolution.
Fortifying Cyber Defense with Artificial Intelligence
Mayank Padwal, Riya Khambe
Abstract
Cybersecurity directly concerns and has quickly grown to be the most paramount concern
to individual entities, organizations, and even governments in a primarily digital age.
The conventional ways of protection no longer work against cyber threats so
sophisticated and fast-changing. Artificial intelligence is an ultra-modern technology
that will bring game-changing and radical roles in a cyber world pre-arranged for
defense. The paper investigates how AI strengthens cyber defenses by improving such
security features against which modern cybersecurity faces a myriad of threats.
Keywords
Cybersecurity, Artificial Intelligence, Digital Defense, Threat Detection.
Caught in the Net: The Social Trap
Anand Rajendra Makasare
Abstract
Social media platforms are an integral part of our daily lives in today's digital era,
providing unrivaled connectivity and information sharing. However, these tools contain
complex interwoven psychological, social, and ethical issues that can lock users in ways
they may not fully understand. This paper examines the multi-dimensional construct of
social media traps, focusing on mental health (such as doomscrolling and social
comparison), privacy concerns, and the broader impact on society.
Keywords
Social Media, Mental Health, Privacy, Doomscrolling, Echo Chambers, Digital Literacy,
Cyberbullying.
Impact of ChatGPT on Translation Services
Sahil Phondekar
Abstract
In recent years, the landscape of translation services has been significantly reshaped
by advancements in artificial intelligence. The emergence of ChatGPT, a large language
model by OpenAI, is at the forefront of this transformation. This article explores
ChatGPT’s capabilities in processing multilingual data, its benefits regarding
cost-effectiveness and consistency, and the significant challenges it faces concerning
cultural nuances, technical accuracy, and ethical implications like job displacement.
Keywords
ChatGPT, Translation Services, Artificial Intelligence, Machine Translation, NLP,
Automation.
Ethical Challenges and Responsibilities in Affective Computing
Dr. Karishma Raut
Abstract
Affective computing, which aims to recognize and respond to human emotions, holds
immense promise in fields such as healthcare, education, customer service, and
entertainment. However, with this potential also come significant ethical challenges.
Systems designed to sense emotions and engage with users through virtual agents must be
developed responsibly, considering issues of bias, fairness, privacy, transparency, and
accountability.
Keywords
Affective Computing, Ethical Challenges, Bias in Design, Algorithmic Fairness, Privacy
and Transparency.
Retrieval-Augmented Generation (RAG) and Its Applications
Mrs. Vrunal Gharat
Abstract
Retrieval-Augmented Generation (RAG) is a recent and powerful approach in artificial
intelligence and natural language processing (NLP) that integrates information retrieval
and language generation in order to produce responses that are more accurate, reliable,
and current. Large Language Models (LLMs) typically base responses off the knowledge
they were trained on, which may become outdated or contain insufficient contextual
information. RAG enhances these systems by enabling the model to reference relevant
external data sources when generating responses.
Keywords
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Natural Language
Processing (NLP), Information Retrieval, Knowledge Integration.
The Modern Offensive Security Landscape: A Comprehensive Analysis
of Bug Bounty Hunting in 2025
Om R. Loyare
Abstract
This report provides an exhaustive analysis of the bug bounty hunting discipline in
2025. It examines the technical and psychological competencies required for success,
dissects the tooling that powers high-level engagements, and tracks the evolution of
vulnerability disclosure.
Keywords
Offensive Security, Bug Bounty Hunting, Cybersecurity.
Quantum Computing vs. Encryption: Are Current Security Standards
Doomed?
Om R. Loyare
Abstract
The emergence of Cryptographically Relevant Quantum Computers (CRQCs) has transformed
the theoretical threat of 'Q-Day' into an inevitable engineering milestone. This report
provides an exhaustive analysis of the collision between quantum mechanics and classical
cryptography, and assesses the global response for post-quantum standard migration.
Keywords
Quantum Computing, Encryption, Security Standards.
Ransomware Evolution 2026: Trends, Defense Strategies, and Case
Studies
Om R. Loyare
Abstract
As the digital landscape traverses the midpoint of the 2020s, ransomware has
metamorphosed into a highly industrialized 'extortion economy'. This report provides an
exhaustive technical and strategic analysis of the ransomware landscape as of 2026,
exploring the shift to multi-extortion models and AI weaponization.
Keywords
Ransomware, Trends, Defense Strategies, Case Studies.