Quiz 6 – Dissect Real World AI Applications (8 Questions)

Q1. Self-driving cars rely on sensors, actuators, complex algorithms, Machine Learning AI models and powerful processors to execute the complex self-driving car software.

Q2. Self-driving cars rely on various types of sensors to sense its surrounding environment. Select all relevant sensors. (Your answers can be more than one)

Q3. A self-driving car needs to know its location and surrounding as it must calculate how to react to the myriad of daily traffic scenarios and take the best action based on the prediction generated by the AI model. What is this process called according to the SLP square framework?

Q4. In a self-driving car, ______ is used to detect traffic lights, read road signs, track other vehicles and look out for pedestrians.

Q5. A Chatbot is a software application used to conduct an online chat conversation via text or text-to-speech in order to replace a live human agent.

A Chatbot needs data for two main reasons: to know what people are saying and to know how to respond back.

The best conversational datasets to train a Chatbot are ___________, customer support data, dialogue data and multilingual data.

Building a Human-Machine Interface (HMI) for a Chatbot so that it can start to communicate with users is a process under  _____.