You’re an urban planner, looking at a tabletop model of a city. You would like to know what the impact would be if a proposed new building were moved to the left, so you shift it slightly. A digital shadow appears from the base of the building, a high-speed wind tunnel is generated and the reflection off the glass building blinds motorists driving by-evidence that perhaps the change wouldn’t be such a good idea after all.
Developed under the direction of Hiroshi Ishii at MIT’s Media Lab, this urban simulation uses a specially designed lightbulb with a built-in camera and projector to track the position of buildings in a model. The camera recognizes the structures using an optical tagging system; small colored dots encode the object’s dimensions. When a structure is moved, the system displays the resulting shadows and wind patterns on the model’s surface. Developers in Boston and Washington, D.C. have already expressed interest in using the system for their construction projects.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
ChatGPT is going to change education, not destroy it
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
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