30.7.2. Computational Constraints

Try these first

1. 1.

   What is needed for training deep learning models effectively?

   Hint

   Think about what kind of hardware processes tasks quickly.

2. 2.

   Why is real-time inference critical in robotics?

   Hint

   Consider what happens if the robot does not respond quickly.

3. 3.

   What is a primary requirement for training deep learning models?

   • Low computing power
   • High computing power
   • Minimal data

   Hint

   Think about what hardware is typically used.

4. 4.

   True or False: Real-time inference is not critical for robotics.

   • True
   • False

   Hint

   Consider what happens in construction scenarios.

5. 5.

   Consider a construction site where a robot must avoid obstacles while laying bricks. Discuss the computational constraints related to data processing and inference for the robot to operate effectively.

   Hint

   Reflect on both the data volume and the speed of decision-making.

6. 6.

   Evaluate how cloud computing could address the challenges of high computing power requirements for deep learning model training in civil engineering.

   Hint

   Think about the benefits of not having to invest heavily in local hardware.