All posts by Matt Kiser

Introduction to Color Scheme Extraction

An algorithm for color scheme extractionAs an artist, inspiration can come from anywhere: a particular texture, a design, or even a color scheme.

Instead of spending hours painstakingly extracting the hex codes from all of the important sections of an image, what if there was a way to automatically extract the most important parts of an image?

Color Scheme extraction is able to find the most relevant colors in seconds.

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Introduction to Sentiment Analysis Algorithms

Algorithmia's Guide to Sentiment Analysis Algorithms

Sentiment Analysis is the use of natural language processing, statistics, and text analysis to extract, and identify the sentiment of text into positive, negative, or neutral categories. We often see sentiment analysis used to arrive at a binary decision: somebody is either for or against something, users like or dislike something, or the product is good or bad.
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Emergent // Future: Looking Back, Looking Forward, and the Shape of Things to Come

Emergent Future: the year in artificial intelligenceIssue 36
And now back to our regularly scheduled programming… In the
last issue of 2016, we looked at self-driving cars, Zuckerberg’s AI assistant, and what’s new with IoT, drones, and chat bots

This week, we recap the year in artificial intelligence before looking ahead to what 2017 holds for AI, data science, and the shape of things to come

Plus, we check out the latest White House report on Artificial Intelligence, Automation, and the Economy Read More…