It doesn’t feel like almost a year ago since Google announced Google Lens. It’s Google’s machine learning system to assist your camera to help make your life easier. It helps it to identify what it’s looking at and then do or show you things based on what it sees. Now, Google has announced that it can see your pet. And not only see them but identify them. The goal is to offer you photo books and videos dedicated to your furry friend.
MIT Tricks Google’s Vision AI into thinking a turtle is a gun
There have been a lot of positive. useful and sometimes amusing stories about various image AI & machine learning systems over the past couple of years. There have also been some that are either quite creepy or simply the stuff of nightmares. Whatever you use image recognition AI for, though, it seems it can be easily fooled, with a little bit of work.
A team at MIT’s Computer Science and Artificial Intelligence Laboratoy (CSAIL) these systems are even easier to fool than they thought. In a new paper, they’ve developed a system that is up to 1,000 times faster than existing methods. And it works with “black box” systems, too – these are closed source systems to which a hacker has no access to the code.
This video was made with only one image and predictive algorithm
We are all witnesses to vast technological advancement, and it’s fun to watch how it can be used for art. Artist Damien Henry seems to think so as well, so he wanted to see what happens when he uses machine learning to create a video – from a single image.
He used a prediction algorithm and gave it one photo at the beginning. From then on, the machine calculated each following frame and predicted what it would look like. The result is almost an hour-long video composed of more than 100,000 frames, and it’s pretty impressive.
Ostagram uses neural networks to create mind-bending images
Despite how it may look, the above image is not a strange closeup of a Salvador Dali painting. No, it’s a bizarre creation created by a user of Russian web app Ostagram.[Read More…]
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