Connect with us

Hi, what are you looking for?

Apps

Facebook’s new artificial intelligence technology can not only identify deep fraud, but also provide information about its origin

Facebook's new artificial intelligence technology can not only identify deep fraud, but also provide information about its origin

Artificial intelligence (AI) videos and images have become very popular, but they can also cause serious problems because they can create fake videos and manipulate any type of image, which can cause trouble for someone. Photos, videos, and events. Nowadays, Deepfakes look so realistic that it is difficult for ordinary human eyes to distinguish real images from fake images.

This is why Facebook’s artificial intelligence team worked with a team in Michigan to develop the model. A public university can not only identify fake images or videos but can even trace their origin. Facebook’s latest technology checks the similarity of Deepfake dataset compilations to see if they have a common basis and looks for unique patterns, such as small noises or subtle changes in the color space of a photo.

By detecting small fingerprints in photos, the new AI model can view detailed information about how the fair network that created the photos was invented, such as the size of the prototype and how it was prepared. Experts experimented with artificial intelligence on the Facebook platform, using data from about 100,000 fake images created by 100 different authors, each creating 1,000 images.

The goal is to use multiple images to make the AI technology competent enough, while suspending the rest of the images, and then displaying the technology as an image of an unidentified investor. One of the experts who conducted the experiment denied this. Demonstrates the accuracy of AI ratings during the test, but guarantees that they are doing their best to further improve the technology that can help platform moderators identify problems.

The author of deepfake wants to know how effective this technology is when dealing with fake images on the web outside of a laboratory environment. The author further stated that the identified false images were based on an abstract database and then organized in the laboratory. Manufacturers still have the ability to create realistic videos and pictures that many systems can bypass. The experts do not have any other research data to compare their results, but they know that this system is much better than before.

Facebook's new artificial intelligence technology can not only identify deep fraud, but also provide information about its origin

Image Credit: Digital Information World

OVERVIEW:

The goal is to use multiple images to make the AI technology competent enough, while suspending the rest of the images, and then displaying the technology as an image of an unidentified investor. The author of deepfake wants to know how effective this technology is when dealing with fake images on the web outside of a laboratory environment. Manufacturers still have the ability to create realistic videos and pictures that many systems can bypass.

mail2box786@gmail.com'
Written By

Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

You May Also Like

Tech

The China Telecom site shared key details of the Open A35 before its launch. It shared price information, images, and specifications. MediaTek Helio P35...

Mobile

iPhone SE3, The iPhone S, could not be released as a sequel 2020 this year. According to new reports, the iPhone SE 3 is...

Entertainment

WWE After the Bell with Corey Graves and Vic Joseph will play host to special guests and surprises in the lead-up to WrestleMania 37 with daily episodes beginning...

Extra

Isn’t it tempting to know about Ethan Klein’s Net Worth? That’s why you’re here, and I assure you you’ll find the exact figure of...