1.6 How Does AI Work?
The question “How does AI work?” is a relatively simplistic one. Basically, you can’t answer it like that, because AI as a scientific field encompasses various subfields and methods that function differently. One subfield is machine learning. Machine learning is responsible for many advances in AI research. Actually, today we should speak much more often of machine learning instead of AI. In practice, however, the terms are often equated or used synonymously.
Reflection
Domain-specific knowledge is highly relevant for the development of AI systems. 💡 In order for AI-based educational applications to be developed based on learning theory considerations, educators would need to contribute their domain expertise. We will discuss this in more detail in Module 3!
Activity
Find out about the different types of learning (keywords: supervised learning, unsupervised learning).
2 thoughts on “1.6 How Does AI Work?”
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https://www.ibm.com/cloud/blog/supervised-vs-unsupervised-learning
This is all quite new for me, so I looked for some real life examples which might fall into the applications that were discussed in the video.
Cognitive computing : how Siri picks up responses of humans and uses them to learn and adjust her own responses.
Computer Vision : facial recognition or for instance a system that can recognise plant diseases by photos taken by drones based on a dataset that contains photos with the area with the diseases and type of disease indicated.
I’m not sure I’m fully grasping the concept of deep learning. I think I understand it conceptually, but could someone maybe give some examples of current deep learning examples and how they differe from linear machine learning?