3. Introduction to Key Concepts: AI Algorithms, Hardware Acceleration, and Neural Network Architectures

Try these first

1. 1.

   Define supervised learning.

   Hint

   Think about whether the data is labeled or not.

2. 2.

   What does a GPU do?

   Hint

   Recall what GPUs are designed for.

3. 3.

   What type of learning is based on labeled data?

   • Supervised Learning
   • Unsupervised Learning
   • Reinforcement Learning

   Hint

   Consider the definition of supervised learning.

4. 4.

   True or False: GPUs are primarily used for graphic rendering and not for AI.

   • True
   • False

   Hint

   Think about the primary purpose of GPUs.

5. 5.

   You are tasked with designing a machine that learns to distinguish between cats and dogs using images. Explain which type of learning you would implement and justify your choice.

   Hint

   Think about how training with existing labels influences learning.

6. 6.

   Consider an autonomous car requiring real-time input processing from multiple sensors. Discuss how hardware acceleration impacts its performance and the potential limitations.

   Hint

   Analyze the relationship between data processing speed and real-time applications.