Presented by: Friederike Schuur

Smart machines are in the news, algorithms shape our lives. Machine intelligence has changed how we interact with friends (e.g., Facebook), how we shop (e.g., Amazon), and whom we date (e.g., Tinder). In this talk, I go over some recent headlines (e.g., Google’s AlphaGo, AI science fiction writer Benjamin) to explain how data and machine learning power (seemingly) smart agents. I discuss AlphaGo’s and Benjamin’s weaknesses to demonstrate what machine learning is capable of today and what remains a challenge. I share strategies to separate what’s real from what’s not (in machine learning and AI). These strategies help identify (and solve) real-world problems ripe for machine-powered solutions, a foundation for a conversation on how data, machine learning, and AI is likely to impact AEC.

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