FTIR spectroscopy detects counterfeit electronics fast and effectively. [1] It provides a critical solution in the fight against counterfeit products that threaten various sectors of our economy. As ...

Researchers present a novel framework that uses image-mining techniques and machine learning algorithms to identify flaws in counterfeit coins. The researchers' framework uses fuzzy association rules ...

The social media networking platforms have led to a significant increase in both genuine and fabricated media content facilitated by the widespread availability of user-friendly multimedia editing ...

As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority ...

A new smartphone application developed by researchers at ETH Zurich aims to tackle the issue of document forgery by providing a convenient and reliable method to verify the authenticity of various ...

Video forgery detection encompasses a suite of computational methods aimed at verifying the authenticity and integrity of digital video content. With widespread availability of advanced editing tools, ...

A cutting-edge smartphone app, set for launch in Zurich, offers precise detection of forged documents. This app revolutionizes authentication using QR codes. Users can swiftly scan the QR code with ...

In the ambitious pursuit to tackle the harms from false content on social media and news websites, data scientists are getting creative. The next level AI tools will personalise detection of false ...

AI-generated fake images: If an image feels too shocking or unbelievable, pause before forwarding it. Tools such as reverse image search can help verify where a picture first appeared online.