The Objectifier is a small device equipped with a camera and computer that runs a neural network. Using a simple mobile app interface, anyone can train it to associate the user’s actions with objects in their daily environment. For instance, you can train it to turn on the light when you wave your hand at it and turn off the light when you make a fist; to turn on the radio when you start dancing; or even to start the coffeemaker when you put your mug down in front of it. It’s totally up to the user to decide what the device “learns.”
In essence, the device is what Karmann described as an “extension cord with a eye”–you plug one end into the wall, and the other into the object you want it to control. As long as the camera, which breaks down the images it receives by shape, color, and depth, is positioned so it can see you, you can train the algorithm within about five minutes to associate any body movement with the object being controlled. Karmann says that simple tasks, like turning on a light using a hand gesture, might take as little as 30 seconds to train.
Karmann likens the training to how you might train a pet. “The dog trainers alive now might be the programmers of the future,” Karmann says. “They know the techniques. I realized how many similarities there are between dog training and machine learning.”
https://www.fastcodesign.com/90125136/if-youve-trained-a-dog-you-can-train-this-ai?utm_content=buffer05e9d&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
No comments:
Post a Comment
Due to a small but consistent influx of spam, comments will now be checked before publishing. Only egregious spam/illegal/racist crap will be disapproved, everything else will be published.