Norma No Spac... Heading 1 Heading 2 Title Subtitle Su Paragraph Styles 1. Why i

Question

Norma No Spac... Heading 1 Heading 2 Title Subtitle Su Paragraph Styles 1. Why is 3D Printing also known as Additive Manufacturing (AM): 2. How are lasers used to perform 3D scanning? 3. What material is Google's low-cost VR headset made of and how does it work? 4. What material is Google's low-cost VR headset made of and how does it work? 5. How are Digital Assistants (e.g., Amazon Alexa, Google Assistant Microsoft Cortana, etc.) related to Search Engines (Google, Bing, etc.) and what impact are these Assistants having on the Search Engines?

Explanation / Answer

1. 3d printing is also known as additive manufacturing due to the way that it creates the 3d object. It takes up the design of the object in its data stream, processes the required input and then builds the object piece by piece, layer by layer which resembles as the process of addition and therefore it can also be called additive synthesis.

2. Lasers are used in 3d scanning systems, the object that is needed to be scanned input up in the place from where the scanner project beams of laser which creates what we call a point cloud. Point cloud refers to the visualization of the data formed by calculating the distance of the projected light from the back and forth from and to the surface. It essentially creates the entire representation of the object by this process.

3. Google's low-cost VR headset was constructed using cheap items easily available for the household which includes a lens with 45mm focal length, cardboard material to hold the glass and. Relate the structure, a velcro fastener or loop, rubber band and tape.

4. The fact that the digital assistants utilize search input to process the data that the user requires is similar to the process of analyzing the data stream by a search engine provides an example of the amount of similarity between them. The data in both the cases are broken down by the provides input which analyzes the data on the basis of semantic which allows the input to be broken down by understanding the intent behind the user's input and then essentially providing the required result.

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