A new way to automatically build road maps from aerial images
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“RoadTracer” system from MIT’s Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.
Source: mit.edu

“RoadTracer” system from MIT’s Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.
Source: mit.edu
Teaching a machine to master car racing and fireball avoidance through “World Models”.
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Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and venture capitalists alike. As with many phrases that cross over from technical academic fields into general circulation, there is significant misunderstanding accompanying the use of the phrase.
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Half a century ago, the pioneers of chaos theory discovered that the “butterfly effect” makes long-term prediction impossible. Even the smallest perturbation to a complex system (like the weather, the economy or just about anything else) can touch off a concatenation of events that leads to a dramatically divergent future. Unable to pin down the state of these systems precisely enough to predict how they’ll play out, we live under a veil of uncertainty.
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