A research team at the University of Washington has trained an artificial intelligence system to spot obesity—all the way from space. The system used a convolutional neural network (CNN) to analyze 150,000 satellite images and look for correlations between the physical makeup of a neighborhood and the prevalence of obesity.
“You really can’t justify tuna in Chicago as a source of sustenance.” That’s according to Dr. Sylvia Earle, a National Geographic Society Explorer who was the first female chief scientist at NOAA. She came to the Good Food Institute’s Good Food Conference to deliver a call to action around global food security, agriculture, environmental protection, and the future of consumer choice.
IEEE Spectrum is building the world’s largest, coolest robotics catalog[Read more…]
There's a lot of hype around the release of Sony's latest robotic dog. It's called Aibo, and is promoted as using artificial intelligence to respond to people looking at it, talking to it and touching it.[Read more…]