AI is already part of everyday smartphone use. Explore how AI can power autocorrect, face unlock, portrait photography, spam filtering, voice assistants, navigation, app suggestions and photo search

Prompt Engineering is the art of communicating clearly with AI. Learn two simple rules—be specific and state your goal—to get more useful AI responses.

How does AI actually learn? In EP 007 of the AI Awareness Series, we build a tiny neural network and explore predictions, weights, training data, overfitting, underfitting, and why AI can still be wrong.

How does AI learn without a brain? In Episode 006 of the AI Awareness Series, discover how neural networks recognize patterns, adjust mathematical connections, improve through repetition, and why AI can still make confident mistakes. A simple beginner-friendly explanation of one of the most important ideas in Artificial Intelligence.

Are ChatGPT and Microsoft Copilot the same? Many people think so—but they're not. In this episode of the AI Awareness Series, learn how OpenAI develops AI models, how Microsoft integrates them into its products, why both companies are evolving independently, and what this partnership means for the future of Artificial Intelligence.

ChatGPT and Microsoft Copilot may seem similar, but they serve different purposes. Learn how each AI assistant works, why Microsoft and OpenAI collaborate, why AI requires powerful GPUs and data centres, and which tool is better suited for learning, creativity, or productivity. A beginner-friendly guide from the AI Awareness Series.

Where did the term Artificial Intelligence come from? In 1956, a small group of researchers gathered at Dartmouth College and gave a new scientific field its name. Discover how that historic workshop shaped the future of machine learning, deep learning, and today's AI technologies in Episode 4.1 of the AI Awareness Series.

Artificial Intelligence didn't become successful overnight. Explore the AI History Timeline from its birth at Dartmouth in 1956 through AI winters, Machine Learning, Deep Learning, the Transformer architecture, and today's Generative AI. Learn how decades of research shaped the AI technologies we use today.