Loss Functions in Machine Learning: AI’s Key Critic Explained

Welcome back to All that is under the Sun! In our last blog post in Learning AI Series, we unmasked “Optimization,” the tireless engine that helps AI models strive for their “best selves.” We saw how AI isn’t just born brilliant; it learns and improves through a process of iterative refinement. But that begs a …

Read more

Finding the “Best” You (Well, the Best Model Anyway!)

Welcome back to All that is under the Sun, your friendly guide through the fascinating, and sometimes bewildering, world of Artificial Intelligence. This month, we’re kicking off a brand-new series that gets to the very heart of how AI learns and improves. Think of it as the AI equivalent of a motivational seminar, a Marie …

Read more

The Double-Edged Scroll: When AI Companions Become Complications

In the quiet glow of a screen, a conversation unfolds. It’s responsive, unfailingly agreeable, and available 24/7. For a growing number of individuals, this interaction isn’t with a human friend or confidante, but with an Artificial Intelligence (AI) chatbot. These digital entities are rapidly becoming fixtures in our lives, offering a semblance of companionship, instant …

Read more

AI Aces the Test, But Can It Make the Grade? Why Classification Isn’t Decision-Making

We constantly hear about AI’s incredible feats: identifying cats in photos better than your cousin Kevin, translating languages on the fly, even spotting diseases on medical scans. AI models, especially those powered by Deep Learning, are phenomenal classifiers. They can look at data and yell “CAT!” or “SPAM!” or “POTENTIAL TUMOR!” with astonishing accuracy. But …

Read more