> ## Documentation Index
> Fetch the complete documentation index at: https://aegean.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction to AI, Spring 2026

> NYU Spring 2026 lecture recordings.

All recordings are available in the [YouTube playlist](https://www.youtube.com/playlist?list=PL3_BoFxMkFnul00sHpWWNYaSahd3ovC6E).

<CardGroup cols={2}>
  <Card title="Statistical Learning Theory, Lecture 1" icon="play" href="https://www.youtube.com/watch?v=CdhCIjMY8fY">
    NYU Spring 2026 lecture recording
  </Card>

  <Card title="Statistical Learning Theory, Lecture 2" icon="play" href="https://www.youtube.com/watch?v=G8qFNmA1cNY">
    NYU Spring 2026 lecture recording
  </Card>

  <Card title="Statistical Learning Theory, Lecture 3" icon="play" href="https://www.youtube.com/watch?v=fAxAFGS6W3s">
    NYU Spring 2026 lecture recording
  </Card>

  <Card title="Neural Networks, Lecture 4" icon="play" href="https://www.youtube.com/watch?v=ZYPeCB6BSs4">
    NYU Spring 2026 lecture recording
  </Card>

  <Card title="CNNs, Lecture 5" icon="play" href="https://www.youtube.com/watch?v=X3B1nJx0YAw">
    NYU Spring 2026 lecture recording
  </Card>

  <Card title="Object Detection, Lecture 6" icon="play" href="https://www.youtube.com/watch?v=13W0K3X48Gg">
    NYU Spring 2026 lecture recording
  </Card>
</CardGroup>

***

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  [Edit this page on GitHub](https://github.com/aegean-ai/eaia/edit/main/src/media/live-lectures/spring-2026-lectures.mdx) or [file an issue](https://github.com/aegean-ai/eaia/issues/new/choose).
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