AI vs Machine Learning vs Deep Learning: What’s the Difference?
Artificial Intelligence (AI) is the broad concept of making machines act smart, Machine Learning (ML) is a method within AI that allows systems to learn from data, and Deep Learning…
Insights That Shape The Future of AI
Artificial Intelligence (AI) is the broad concept of making machines act smart, Machine Learning (ML) is a method within AI that allows systems to learn from data, and Deep Learning…
Machine learning works by training computers to learn patterns from data instead of following fixed instructions. In simple terms, you give the machine examples, it studies them, finds patterns, and…
A dataset is a structured and organized collection of information—such as text, images, numbers, audio, or videos—used to train, test, and improve AI systems. In simple terms, datasets are the…
Large Language Models (LLMs) work by learning patterns from massive amounts of text and using those patterns to predict the next word in a sentence. They don’t “think” or “understand”…
Neural networks power many of today’s most advanced AI systems—from ChatGPT and autonomous vehicles to medical imaging tools, recommendation engines, and fraud detection platforms. Despite their huge influence, most people…
Artificial Intelligence is becoming a part of almost everything we do, from how we shop to how we receive healthcare. But as AI systems grow more powerful, the biggest question…
Artificial Intelligence is evolving faster than any technology in human history. To understand where we stand today and where we might be heading, experts categorize AI into three major types:…
Artificial Intelligence (AI) is the capability of machines or software to perform tasks that normally require human intelligence – such as understanding language, recognising patterns, learning from experience, making decisions,…