Abstract
This lecture addresses the challenge to explain the AI science basics using only High school Mathematics. Luckily enough, it has been proven to be a successful and very interesting undertaking. The lecture covers the following topics in detail: definition of AI science, Data and Vectors, Clustering, Classification, Neural Networks, Computer Vision and Natural Language Processing. Of course the treatment would not be complete without reference to some subtle notions, e.g., knowledge and abstraction. Finally, the relation of AI science, society and the environment are overviewed.
As this effort was initiated by a request from a Greek High School (Skiathos island), it is available both in English and Greek. If there is a specific request to Prof. Ioannis Pitas (pitas@csd.auth.gr), the ppt can be sent for lecturing in high schools worldwide and/or can be translated in other languages.
Figure: Measuring humans and clustering their weight and height vectors.
Figure: Large Language Models. The power of word prediction.
If one downloads any of these presentations, he/she is kindly asked to email Prof. Ioannis Pitas (using “AI Science and High School Mathematics” as e-mail subject).