AI Inspiration #2: Huh? AI Isn’t the Future? Computer Vision’s Impact on Long Lines at Whole Foods; Deep Lego Learning
Here’s everything that’s new in artificial intelligence and computer vision, with a little tech pop culture to make the medicine go down. Our logic is undeniable.
Will Amazon’s computer vision help eliminate the daunting Whole Foods lines?
Now that Amazon owns Whole Foods and will instantly gain brick-and-mortar retail operations across North America and the UK, its Amazon Go technology may turn the upscale grocer into a crunchy version of Grand Theft Auto, with organic kale and raw cacao nibs instead of cars. The service uses computer vision, sensors, and other technologies to let customers grab items, walk out of the store, and automatically pay without having to worry about waiting in line at a cash register.
File this under: “Everything you wanted to know about AI today, but were afraid to ask.” And by today, we really mean today. From retail and medicine to transportation and social media, this quick overview explains all of the big and little ways AI is working in our daily lives.
What’s the best way to monetize a couple of tons of Lego bricks short of making an animated Batman movie? Build an automated robotic contraption that takes pictures of doodads and feeds them to a neural network for training to facilitate efficient sorting — apparently Lego bricks are more valuable for selling if sorted by color and shape. That’s precisely what Jacques Mattheij did after accidentally buying over 4,400 lbs of Lego bricks. He really is a builder of tomorrow.
So said many of the experts at this year’s LDV Vision Summit. From better self-driving cars to higher accuracy in cancer diagnoses, the benefits of computer vision outlined here — and covered at the Summit — explain why the sector is exploding, and why it’s a key part to winning the AI race.
Viral images, the building blocks of computer vision neural networks, have been around since the beginning of photography. It’s only now that the volume has grown, and so have the audiences. In this “What’s wrong with this picture?” gamified interactive experience, you’ll discover how images from as early as the mid-19th century became so iconic. Play and learn.