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Using AI and Machine Learning for Independent Research
When we think of “research”, we often think of scientists in lab coats with clipboards standing next to large computer banks. In fact, not only have those machines become smaller but they are also now all in the cloud.
AI (and its cousin Machine Learning) are good at picking out patterns in your data. They can be extremely useful in finding significant patterns in survey studies and can be extremely effective in meta-analysis studies, greatly accelerating the time it takes to develop and validate research. This is useful not only in the physical and social sciences, but can also be applied to the liberal arts in fields such as linguistics and literary studies.
Finally, and surprisingly, AI and ML are useful even in the fine arts. Algorithms such as Deep Dream can actually learn the style of one painter and apply it to the content of another. For instance, imagine Van Gogh’s style from Starry Night applied to Rembrandt’s The Night Watch. This ML-based technique for mashing up styles and content isn’t exclusive to visual arts, either; it is currently even being applied to literary sources.
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