Kongunadu College of Engineering and Technology(Autonomous)

  Introduction: Artificial Intelligence (AI) is no longer a science fiction film story—and it has become a part of our day-to-day lives. From asking ChatGPT questions to receiving customized suggestions on YouTube, opening phones by face detection, and more, we can see the influence of AI everywhere. But there is one intriguing question that dominates: “Can Artificial Intelligence truly think like a human? "While professionals continue to debate this, there is one sure aspect—AI is rapidly changing the way we learn, work, and live. For students in particular, AI has become a silent companion that supports effective learning, improves writing, and saves time. As we approach 2025, mastering the right AI tools is no longer optional—it has become a necessity. Can Artificial Intelligence Think Like Humans? For years, scientists and researchers have attempted to build machines that can think like humans. Artificial Intelligence is trained on vast amounts of data and advanced algori...

  Introduction: Unmasking the Invisible Influence                 Algorithms are the hidden workers behind the scenes—quietly shaping what we see, hear, and decide. Though they might seem abstract or distant, their influence permeates every aspect of daily life, subtly guiding us in ways we rarely notice. What Is an Algorithm, Really?          At its core, an algorithm is simply a series of logical steps—or a 'recipe'—designed to solve a problem. It doesn’t require magic or sentience—just clear, well-defined operations that lead to predictable outcomes. Ancient Wisdom at the Core of Modern Tech ·             Surprisingly, many of our most advanced algorithms trace their roots to ancient mathematical principles:   - Euclid’s algorithm for greatest common divisor - a concept from around 300 BCE -  serves a...

       DESCRIPTION: 1. Introduction As digital ecosystems expand, the effectiveness of legacy perimeter-centric security approaches is rapidly declining. The Zero Trust Security Model ( ZTSM) offers a revolutionary shift by unnaturally discarding the outdated notion of implicit trust within networks. It operates on the principle of" noway trust, always corroborate," treating every stoner, device, and operation as untrusted until vindicated. This model is designed for ultramodern IT surroundings that are decentralized, pall- driven, and decreasingly vulnerable to sophisticated cyber pitfalls. 2. The Need for Zero Trust The rising complexity of digital structure, along with an increase in remote work, pall relinquishment, and advanced cyberattacks, has exposed the limitations of conventional security models. crucial challenges include • Bigwig pitfalls and side movement within trusted zones. • Expanded attack shells due to mobile and pall technologies. • ...

Introduction: Design of life-saving medicines. Bringing a new drug to market has always been one of the most challenging, time-consuming, and costly processes in science. Traditional drug discovery often takes over a decade and billions of dollars, yet many drugs still fail during clinical trials due to lack of effectiveness or safety issues. Today, however, a powerful new tool is reshaping this landscape Generative Artificial Intelligence (AI). Generative AI has the potential to revolutionize drug discovery by creating novel molecules, predicting their behaviour, and optimizing them for effectiveness. By turning biology into data and molecules into code, this technology is dramatically accelerating the design of life-saving medicines. What is Generative AI in Drug Discovery? Generative AI is a type of artificial intelligence that doesn’t just analyze data it generates new possibilities. In drug discovery, this means designing unique chemical compounds that could interact with biologic...