Body of Evidence- The Anatomy of AI
Article Reprints
It seems like everywhere you look you now see Artificial Intelligence (AI) touted in the unlikeliest products ranging from the advanced to the mundane.
Just the thought of AI powering your products sounds impressive, so of course you want to believe the claims.
However, much of the noise fails to convey what the AI does or why the manufacturer felt so confident about making the claim.
The engineer in me is always curious how things are built. That’s because I hate the concept of a ‘black box’ where we aren’t supposed to understand how calculations are programmed.
So, let's open the box and explore the anatomy of AI.
To achieve an artificial intelligence, you first need two main ingredients: First, an ability to measure some parameter with an understanding of what the measurement means and second the ability to learn. The first part is all about metrology, otherwise known as the scientific study of measurement. The second part is called machine learning (ML), which gives systems the ability to recognise when a measurement is different than expected and change an operation without explicitly being programmed.