AI in the classroom: Are we there yet?

We’ve described before the nuanced distinction between AI and machine learning: machine learning is a subset of AI and encompasses cutting-edge work primarily using neural networks to mimic how the brain computes, applied to the more superior capacity of computers, enabling them to learn.

In his BETT talk, Joel Hellermark, founder of Sana technologies of Sweden, and all-round AI-prodigy, (not to be ageist but at 22, his approach, clear insight and success is quite astounding), defines machine learning via neural networks using a simple comparison:

Deep Blue versus AlphaGo

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