Abstract: Deep fake detection is the process of identifying and recognizing manipulated media such as videos or images, which replicate original people through Artificial Intelligence (AI) techniques.

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

Adam Mosseri, Head of Instagram and Meta speaks during the World Audio Visual & Entertainment Summit (WAVES) event in Mumbai. (Photo by Ashish Vaishnav/SOPA Images/LightRocket via Getty Images) (SOPA ...

Photoshop tutorial showing a quick, effective way to make a cool, planetary nebula in deep space and a fiery explosion complete with a planetary inferno. Who is Sarah West? Judge faces calls to be ...

Shafiqul Alam, Press Secretary to the Chief Adviser of the Interim Government, stated that Artificial Intelligence (AI) is rapidly transforming the traditional landscape of journalism. While the pace ...

Great Plains Development Authority Chair Bob Wood signs an agreement with Evergy to begin a solar project at Great Plains Industrial Park. Hannah Emberton/Sun Photo The Great Plains Development ...

Abstract: Deep fake images trigger doubts regarding media trustworthiness as well as they compromise public confidence and create security threats. A new deep fake detection system that uses ...

On October 7, a TikTok account named @fujitiva48 posed a provocative question alongside their latest video. “What are your thoughts on this new toy for little kids?” they asked over 2,000 viewers, who ...

SINGAPORE, Dec 17 (Reuters) - In a high-security Shenzhen laboratory, Chinese scientists have built what Washington has spent years trying to prevent: a prototype of a machine capable of producing the ...