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Trade Publication Article
The Art of Learning by Example
2020
Overview
From sidewalk inventories to travel surveys, planners devote considerable time and energy to understanding existing conditions. It doesn't have to be that way. With the help of artificial intelligence, planners can now evaluate the potential impact of a safety project in one week rather than having to wait five years, or pull off a sidewalk inventory across an entire county in a matter of weeks rather than months. While there's no replacement for being physically in the communities we serve, 1 think we can all agree that standing in parking lots counting cars isn't the best use of our time. So put away the clipboard and see how recent advances in AI-and particularly its computer-vision subfield-promise to refocus planners efforts on the work only we can do and revolutionize how we understand our communities. The term \"artificial intelligence,\" or AI, often conjures images of autonomous vehicles meandering through streets, smartphone assistants answering questions, or even androids exploring final frontiers. While some might think that touches on the realm of science fiction, in some ways, the reality of AI today isn't that far off. AI is the study of algorithms that can sense, reason, adapt, or otherwise simulate human intelligence. It has had stops and starts since the late 1950s, but everything changed in the early 2010s. The field experienced a renaissance fueled by improved hardware, the advent of big data, and the widespread use of deep learning (a generalized set of algorithms loosely inspired by neurons in the brain). Combined, these advances enabled computers to learn by example, which has quietly allowed them to do all sorts of new tasks, from translating speech and increasing the pace of industrial automation to identifying cat pictures on the internet.
