AI and Simulations Completion Exam

Simulations are virtual environments that replicate real-world scenarios to enhance skills and solve problems.

Mixed Reality (MR) allows interaction with both real and virtual objects in the same environment.

Extended Reality (XR) only includes Virtual Reality (VR) and Augmented Reality (AR).

Augmented Reality (AR) replaces the real world with a fully virtual environment.

The Metaverse is a collection of disconnected simulations that run independently.

Avatars in the Metaverse represent users and allow interaction within virtual environments.

A recommendation system, like Netflix suggesting movies, is an example of Artificial Narrow Intelligence (ANI).

ChatGPT is an example of an AI tool that uses Large Language Models (LLMs).

Generative AI can only analyze data but cannot create new content.

Deep Learning (DL) is a subset of Machine Learning that uses neural networks for complex tasks like facial recognition.

What is a key purpose of simulations?

The Metaverse can be best described as:

Which of the following is not an element of Spatial Computing?

Which of the following is not part of XR?

Which of the following is an example of an AR experience?

Mixed Reality combines elements from which two technologies?

What does an XR holographic display rely on to create a 3D visual experience?

What is the main function of Machine Learning (ML)?

Which AI application is NOT an example of Generative AI?

What is multimodal AI?

What is an example of Spatial Computing in action?

What type of devices will enable haptic and full-body immersion in XR?

Which of the following play area options in VR is best for larger spaces where you can walk around?

Which devices can be used to experience AR?

What sets MR apart from AR and VR in gaming?

What feature allows users to study the internal structure of objects in the XR holographic display?

Which learning approach is emphasized by XR simulations?