Artificial Intelligence (AI) is often portrayed as a magical black box where data goes in and something like a self-driving car comes out. Unfortunately, the magical black box is subject to any constraints on data[…]
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Category: artificial intelligence
Demystifying AI: Tesla’s Self-Driving Car
Late last year, when my trusty Altima of over 15 years started needing coolant refills more often than gas refills, I knew it was finally time to start looking for a new car. While many[…]
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How Does Spotify Know What Music I Might Like? Demystifying Recommender Systems Part II
In an earlier blog, we discussed some of the basic concepts behind recommender systems and what they do. This time let’s delve a little deeper into how recommender systems work. First we need to start[…]
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“An AI Walks into a Bar” – Using Artificial Intelligence to Generate Humor
“If the mushroom was such a fungi, why didn’t they have the party at his house?” “Because there wasn’t much-room.” –Dad Joke Generator We all know a bad joke when we hear it. Sometimes one[…]
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How Social Science & the Humanities + Data Science = More Ethical AI
As practitioners and consumers of data science, how do we make ethical decisions when confronted with thorny dilemmas in artificial intelligence (AI)? How do we even recognize when those dilemmas emerge before they become public[…]
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HolidAI Greetings – Making Spirits…Weird
Back by popular demand – our HolidAI Greeting Card Generator has a fresh look, along with updated images and messages for the 2019 holiday season! And to be honest, it’s gotten even weirder. Machine learning[…]
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The Difficulty in Defining Artificial Intelligence
AI is one of the most widely talked about yet poorly understood terms in organizations. While over 50% of organizations considered AI a priority in 2019, 77% of organizations are failing to successfully adopt AI-enabled[…]
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AI as the Artist’s Muse
What happens when a classically trained painter and an A.I. muse come together to create a work of art? Chris Peters, a Los Angeles-based artist, filmmaker, and former software engineer, began to find out with[…]
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Pandata Case Study: Cleveland Museum of Art – Open Access
The Cleveland Museum of Art is a world-renowned art museum with a substantial collection of over 61,000 artworks. In January of 2019, they launched their Open Access Initiative in which they made over 30,000 public[…]
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Sifting Through the Noise: Data Science Buzzwords
Call it Machine Learning or Artificial Intelligence, the goal is to solve problems using data. Solving problems using data is the driving force behind data science. Everything else is just a weapon in our arsenal. […]
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