Everyone encounters stereotypes. But what you do afterward says something about you
There is a lot of debate in the scientific community over what exactly intelligence is. We can talk about IQ. That’s one thing that’s absolutely measurable. But beyond that things get hazy. According to Harvard’s Howard Gardner there are multiple intelligences. In an elemental sense, one of the earliest and most comprehensive explanations is the ability to recognize patterns.
Artificial intelligence (AI) is not nearly as smart as we want it to be. Because we are not nearly as smart as we want to be.
They may look odd, but it’s all part of Google’s plan to solve a huge issue in machine learning: recognizing objects in images.
When Google asked its neural network to dream, the machine begin to generating some pretty wild images. They may look odd, but it’s all part of Google’s plan to solve a huge issue in machine learning: recognizing objects in images.
To be clear, Google’s software engineers didn’t ask a computer to dream, but they did ask its neural network to alter the images based on an original photo they fed into it, by applying layers. This was all part of their Deep Dream program.
The purpose was to make it better at finding patterns, which computers are none too good at. So, engineers started by “teaching” the neural network to recognize certain objects by giving it 1.2 million images, complete with object classifications the computer could understand.
These classifications allowed Google’s AI to learn to detect the different qualities of certain objects in an image, like a dog and a fork. But Google’s engineers wanted to go one step further, which is where Deep Dream comes in, which allowed the neural network to add those hallucinogenic qualities to images.
We're only seeing a fraction of the world around us. Amy Herman teaches the art of perception; if you're game to test your visual intelligence, take one of her perception challenges here.
Sometimes it’s not what is there, it’s what isn’t. Let’s rewind.