Hey my friends, this is the article 58 / 1000! For those who don’t know me, my name is Selim Chehimi and I’m an engineering student. I’ve been programming for 7 years now so you can tell that I really enjoy that. Those 7 years of programming lead me to Artificial Intelligence. I really want to be involved in AI so that’s the reason why I’m sharing this article with you. I hope you’ll enjoy reading it as much as I’ve enjoyed writing it.
Machine learning (ML) is a subfield of computer science that gives computers the ability to learn without being explicitly programmed. Google has announced a new approach to ML where the AI teach itself. In other words, Google researchers are teaching their AI to build its own, more powerful AI. This is a tremendous push into Artificial Intelligence.
How does it work?
We’ll have to dig a little bit into the basics of ML to understand the new Google’s approach. At the risk of oversimplifying, ML is one approach to developing Artificial Intelligence and involves two major step: Training and Inference.
Let’s take a simple example: imagine that you want your AI to recognize cats. The first step to do that is to train your AI like it was a child. You show it thousands of pictures of cats to teach it what kind of pixel combinations combine for them.
The inference part is where the system takes what it’s learned to make guesses (telling you if this picture is a cat or not).
Machine Learning also requires artificial neural networks to mimic the way the brain learns. Google has used these neural networks not to recognize cats but to build better neural networks – essentially teaching AI to teach itself. This new Technology is called AutoML, it recognizes which systems are smartest.
While this is very exciting for tech enthusiasts, growing numbers of people are worried about what AI systems could mean for their life. AutoML makes me think of the intelligence explosion which I discuss in my last video on YouTube:
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