The concept for Google’s artificial intelligence program known as “Google Cat” evolved over time from human faces, body parts, and cats. As this machine learns to recognize and categorize images, the brain uses prior knowledge to process new ones. YouTube data is skewed, but cats are incredibly popular among humans. That data is the basis for Google’s artificial intelligence system, which is now capable of recognizing cats and other images.
The Google “X” lab has developed a computer simulation of the human brain. It uses over one billion connections and 16,000 processor cores to simulate the way that humans’ brains process information. The resulting simulation has 86 billion neurons and is capable of recognizing even the most complex images. In other words, Google Cat is like a human brain, but without the human part! The company’s AI program can recognize cats and even recognize their different patterns on its own.
Amazon and Google are both leading innovators in the space. Amazon has launched automated supermarkets long before it became cool to do so, and Google spends more money on R&D than any other company. It’s said that Google spends $3 billion a year on R&D, or $8 million a day. Yegge is a disgruntled former employee who believes that Google is failing to innovate. Yegge’s latest claim has merit.