Artificial intelligence isn’t built on just one approach. In fact, there are two very different philosophies behind how AI systems work: Symbolic AI and Neural Networks. Symbolic AI represents the original vision of artificial intelligence — machines that reason using logic and rules. Neural networks represent the modern wave of AI — machines that learn…
Artificial intelligence has evolved from simple rule-based systems into models that learn, adapt, and generate content. But a newer category of AI goes even further — Cognitive AI. Cognitive AI focuses on enabling machines to reason, remember, understand context, and make decisions in ways that more closely resemble human thinking. If you already understand concepts…
Reinforcement learning is one of the most fascinating ways artificial intelligence learns — because instead of being told the “right answer,” AI figures things out by trying, failing, and improving over time. This is how AI learns to: In simple terms, reinforcement learning (RL) teaches AI how to make better decisions through rewards and penalties…
Computer vision is one of the most powerful branches of artificial intelligence — and one you already interact with every day, often without realizing it. From face unlock on your phone to self-driving cars and medical imaging, computer vision allows AI systems to understand images and video in a way that mimics human sight. In…
Natural Language Processing (NLP) is the part of artificial intelligence that helps computers understand human language — the words we write, speak, and search every day. It’s the reason tools like chatbots, voice assistants, and AI writers can: If you’re brand new to AI, don’t worry. This guide explains NLP in plain English, with simple…
Generative AI is one of those buzzwords you hear everywhere — ChatGPT, AI art, deepfakes, “AI writing my emails”… but the idea behind it is actually pretty simple. In short: generative AI is a type of artificial intelligence that creates new content — and it’s built on the same foundations you’ll see in our Machine…
Introduction — Deep Learning in Plain English Deep learning is one of the most powerful parts of modern artificial intelligence. It’s the technology behind things like ChatGPT, voice assistants, AI image generators, self-driving car perception, and medical scan detection. If machine learning teaches computers to learn from data, deep learning takes that learning to a…
Introduction — Machine Learning in Plain English Machine learning is one of the most important parts of artificial intelligence — and it powers almost everything we use today. From Netflix recommendations to Google Maps, self-driving cars, voice assistants, and even ChatGPT, machine learning helps computers learn from data and make smart decisions. But what exactly…
Artificial Intelligence in Plain English Artificial Intelligence (AI) is changing the way we live and work. From voice assistants and navigation apps to medical scans and fraud detection, AI has quietly become one of the most powerful technologies in the modern world. If you’ve ever asked Siri a question, watched a Netflix recommendation, or had…
