Print the Legend and Questioning the 3D Printing Revolution contain different - though not entirely opposing - perspectives on the social significance of manufacturing made accessible. One consistency between the media is the contrast within a factory floor. Ansh Patel talks about the distinct segmentation in a printer factory. On the design side, the space is described as having a "sanitized aesthetic," while the manufacturing side was considerably less clean. This divide was embellished with not only a glass wall, but a clear demographic difference as well: the design side was populated with young white men while the manufacturing side was nearly entirely people of color and women. While this is not a major talking point in the documentary, the context the article provides makes the visual more evident. Conversely, a major topic in the movie that does not come up in the article is the gun controversy. Cody Wilson, a strong proponent o...
I think particularly during this time it was really good to hear from recent graduates, and how they transitioned from college life to career life. It is easy to get caught up in here and now, and how important school is right now. But it is always reassuring and affirming to hear about life post-NYU. Ansh Patel does work with Alzheimer's epilepsy patients, and while that is not necessarily a field that I would be going into, it was nice to hear about since I recently lost my grandmother, who had Alzheimer's. Ansh also brought up game design and how he wanted it to be his passion, not his career. I thought this was really interesting because there are a lot of hobbies or passions that I used to have in high school that people would always ask me why I didn't decide to pursue them, and I think that is because of this reason, that there are things that I keep as passions and things that I keep as career. But that doesn't mean that I'm less passionate about my career. ...
The technology that I have been grappling with and looking to examine more is natural language processing. It was part of the product pivot in my internship last semester. We were aiming to create an application that would act as a total assistant in meetings, automating as many processes as possible to ensure that all you have to worry about while executing your meeting is executing your meeting. This is what I see as the power of natural language processing. Computers know how to calculate and simulate and compile but what we need is for technology to understand how to do those without translation on the part of the user. A software we commonly used was otter.ai, an artificial intelligence program that would use natural language processing to transcribe your audio recorded meetings. We used this because it removed the need for note taking, it removed the disheartening moments of losing that idea because no one can remember it. ...
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