How Expert Systems Are Implemented: Part Six

How Expert Systems Are Implemented: Part Six

Part Six How Expert Systems Are Implemented (Nine) Department of Computer Science, Tsinghua University, Mao Shaoping Section Nine Limitations of Expert Systems Dr. Ai: Although expert systems have been applied in various degrees, they still have some limitations that affect their development and usage. Firstly, the bottleneck problem of knowledge acquisition has not been well … Read more

Finding That Fake Photo! The Fight Against Deepfake

Finding That Fake Photo! The Fight Against Deepfake

Rumors Stop at FakeCatcher. Compiled by | Zi Pei On January 13, ZhDongxi reported that with the popularity of one-click face-swapping applications like Deepfake, more and more ordinary people can easily modify the images and even the voices of people in videos, achieving a level of realism that is hard to distinguish from the real … Read more

Creating My Own Deepfake: A $552 Experiment

Creating My Own Deepfake: A $552 Experiment

Deepfake technology uses deep neural networks to replace a face in a video with another face. This realistic technology has potential for misuse, yet it is becoming increasingly popular. In this article, I will take a close look at the technology itself by creating my own work to answer: How does Deepfake software work? How … Read more

Deepfake Technology: Near Reality But Not Quite Real

Deepfake Technology: Near Reality But Not Quite Real

Have you ever mistaken an AI-generated user avatar for a real person on social media? As “deepfake” technology approaches realism and even bypasses the uncanny valley effect, the line between “true” and “false” has been redefined. As one of the most significant manifestations of “deepfake” technology, AI synthesis technology has been widely applied in the … Read more

The Rise of Deepfake: What Is Synthetic Data Used For?

The Rise of Deepfake: What Is Synthetic Data Used For?

Author | Astasia Myers Translator | Sambodhi Editor | Vincent AI Frontline Introduction: We previously published an article titled “AI Startups Competing to Commercialize Deepfake” on the 4th of this month. We believe readers have already recognized that Deepfake is a double-edged sword; when used correctly, it benefits society, but when misused, it can lead … Read more

Deepfake Detection: Unveiling the Structure of Fake Models

Deepfake Detection: Unveiling the Structure of Fake Models

Deepfake vs Anti-Deepfake: A Long-Term Cat and Mouse Game. Compiled by | Xinyuan Edited by | Moying The following report from Zhiyuan on June 18 asks, can you spot any issues with the photos of these people? These smiling individuals are all fake, generated by a well-known AI model called StyleGAN, and do not exist … Read more

How to Use DeepFake for Face Swapping in Videos

How to Use DeepFake for Face Swapping in Videos

Machine Heart Release Author: Feng Qinyuan Not long ago, the AV video face-swapping star DeepFake became popular. This article will guide you step by step on how to achieve face swapping. If you are hearing about DeepFake for the first time, be sure to click the video above to personally experience how Nicolas’s face occupies … Read more

Introduction to Computer Vision: Image Stitching Techniques

Introduction to Computer Vision: Image Stitching Techniques

Click the “Computer Vision Life” above and select “Star” Quickly obtain the latest insights Introduction Image stitching is a method of combining multiple overlapping images of the same scene into a larger image, which is significant in fields such as medical imaging, computer vision, satellite data, and military target recognition. The output of image stitching … Read more

Computer Vision: Practice Is More Important Than Theory!

Computer Vision: Practice Is More Important Than Theory!

Fingerprint unlocking, facial recognition, speech-to-text conversion, robots diagnosing illnesses, AlphaGo······ We have deeply felt that artificial intelligence is changing the way we work and perceive the world. According to a report by SAS on the readiness of enterprises for artificial intelligence, most companies believe that AI is still in its early stages, “Currently, many application … Read more

Understanding Backpropagation in Deep Learning

Understanding Backpropagation in Deep Learning

This article is a translated note of the Stanford University CS231N course, authorized by Professor Andrej Karpathy of Stanford University. This is a work of Big Data Digest, and unauthorized reproduction is prohibited. For specific requirements for reproduction, see the end of the article. Sign up now Machine Learning Training Registration is now open! Top-notch … Read more