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What challenges arise in the deployment of autonomous vehicles?
What are some open problems you find interesting?
Why artificial intelligence is needed?
What are the challenges of implementing AI on edge devices?
What types of motors used in industrial robots?
What role does AI play in drone navigation?
How decision tree algorithm is different from the random forest algorithm?
How will you check if an element 25 is present in a vector?
What are the similarities and differences between bagging and boosting in machine learning?
What is the bias in machine learning?
Explain reinforcement learning.
What are the disadvantages of breadth-first search algorithm?
How do ethical concerns differ between general-purpose AI and domain-specific AI?
What are the different performance metrics for evaluating Uber services?
As you're starting work on your game, one of your colleagues suggests avoiding pathfinding completely, and just using potential fields for pathfinding and navigation. He suggests that you just overlay a big 2D grid over the world, with each cell indicating the distance to the nearest obstacle. Is his idea feasible? Why or why not? When would it cause problems? Regardless of the answer to that question, what are some of the other ways that such a system could be used?
