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Food Made Simple: AI vs Machine Learning
by Riana Lynn
June 26, 2019
At Journey Foods, we know there’s a better way to approach the future of food. We’re an AI-powered platform that supports product management and data services to help thousands of food businesses save money and create better products efficiently. We’ve sold several thousand units of our inaugural data-driven product line, Journey Bites, with more than 1 million cubes manufactured, which supports our machine learning-based algorithms.
It seems like every year there’s a new set of buzz words you just can’t seem to get away from. This year, those words seem to be‘machine learning’and‘artificial intelligence’. Everybody seems to be taking a stance on the topic, from saying AI is going to take all of our jobs to sayAI is the key to our future. Despite all the talk, people still seem to be confused about these terms or are at least misusing them.
AI and Machine learning are integral to Journey Foods, so it’s fair to say we know a thing or two. We know that food systems and the evolving tech scene are complex, and we think the conversation about the relationship between artificial intelligence and food needs to be louder.
That conversation won’t be productive if everyone doesn’t understand the basics, so let us explain:
‘Artificial intelligence’and‘machine learning’actually refer to two separate, albeit related, things.While all machine learning is AI, not all AI is machine learning. (Sometime’s it’s deep learning, symbolic logic, etc. But we won’t get into that right now.)
The most basic definition forartificial intelligencecomes from the godfather of AI himself and states that it’s“the science and engineering of making intelligent machines”. The process ofmachine learning, or ML, is a subset of AI that involves training a piece of software to make useful predictions using data. Basically, it’s a long process of running continuous experiments until the software does what you need it to do.