Computer-Aided Assessment


EPICOLOR Uses Artificial Intelligence to Grade Your Footage Automatically

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To be clear, your computer is likely not powerful enough to run an artificial intelligence engine itself, and definitely can't do so within a plugin. Likely, a tremendous volume of imagery was processed and analyzed in a neural network to craft a target for what a pleasing image is, and then EPICOLOR uses that processing to look at your footage and convert it into something more attractive. The above image is a side-by-side of the EPICOLOR auto color and the auto color from Resolve, taken from EPICOLOR's own demo imagery. While automated grading isn't going to come for professional color jobs just yet, there are going to be lots of applications where a quick and dirty auto grade is going to get used to keep the post workflow moving faster than it was before.


Machine learning could soon determine everything about creating webpages, says Unbounce

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With breakthroughs in machine learning happening every day, more and more column inches are being devoted to the prospect that super-intelligent computers are right around the corner--and that they'll soon take over people's jobs. A business that allows organizations to easily design landing pages and test which variants perform best, Unbounce has recently created a system that asks computers to grade a site's homepage on how likely visitors are to engage with it. Asking players to predict whether a landing page had a conversion rate that was higher or lower than average, the app saw users assess nearly 18,000 webpage screenshots over two days. Aiming to determine a definitive causal link between a landing page's language and its conversion rate, the company will contribute to the growing revolution of machine learning.


Cross-Language Plagiarism Detection System Using Latent Semantic Analysis and Learning Vector Quantization

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Computerized cross-language plagiarism detection has recently become essential. With the scarcity of scientific publications in Bahasa Indonesia, many Indonesian authors frequently consult publications in English in order to boost the quantity of scientific publications in Bahasa Indonesia (which is currently rising). Due to the syntax disparity between Bahasa Indonesia and English, most of the existing methods for automated cross-language plagiarism detection do not provide satisfactory results. The results of the experiments showed that the best accuracy achieved is 87% with a document size of 6 words, and the document definition size must be kept below 10 words in order to maintain high accuracy.


Competing with Machine Learning

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Anthony Goldbloom is cofounder and CEO of Kaggle, a platform for machine-learning competitions. Almost 500,000 of the world's top data scientists compete on Kaggle to solve important problems for industry, government, and academia. Kaggle has catalyzed breakthroughs in areas ranging from automated essay grading to automated disease diagnosis from medical images. Before cofounding Kaggle in 2010, Anthony was an econometrician at the Australian treasury.