AI is the defining technology of this era, and one of the most misunderstood. Our articles cut through the hype to explain what AI actually is, how machine learning and deep learning differ from each other, and how these systems are reshaping the tools you use every day.
Artificial intelligence gets talked about constantly, but it's rarely explained clearly. InfoNest's AI coverage starts from first principles: what AI actually is (and isn't), what makes modern systems like large language models different from the AI of thirty years ago, and what the practical tools built on these technologies can do for you today. We don't chase AI hype cycles or publish breathless predictions about superintelligence. What you'll find here is grounded, honest writing about how AI systems work, what they're genuinely good at, and where their real limitations lie. That kind of understanding is more useful than headlines, and it ages better too.
From the search engine that found this page to the medical software helping doctors diagnose disease, AI is everywhere. But what is it, really? This explainer unpacks the concept from its roots to its modern applications.
Beyond the chatbots and image generators, a new class of AI tools is quietly transforming how people write, research, manage their time, and work. Here's an honest look at what's actually useful.
These three terms are used interchangeably, incorrectly. Understanding how they relate to each other (and where they differ) gives you a far better mental model of what AI systems can and can't do.