More than 40 years after he was ripped from his family in Southern California, authorities hope a new age-progression image could be the key to finding the now-adult man who likely has no idea abou… ...

A new attack dubbed 'EchoLeak' is the first known zero-click AI vulnerability that enables attackers to exfiltrate sensitive data from Microsoft 365 Copilot from a user's context without interaction.

More than 40 years after he was ripped from his family in Southern California, authorities hope a new age-progression image could be the key to finding the now-adult man who likely has no idea abou… ...

Scientific Reports (2025). [4] Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. Neural Computing and Applications (2020).

We also compared the image to (warning: some may find these images distressing) real scenes of the crash site, which look significantly different to the social media picture. Additionally there are ...

Black Forest Labs, Europe’s fast-rising frontier AI research lab, announced today the release of FLUX.1 Kontext, a new suite of image generation models that introduce powerful in-context ...

A new method, called PSL-DefakeHop, is proposed to detect fake satellite images based on the parallel subspace learning (PSL) framework in this work. The DefakeHop method was developed previously for ...

A CCTV image has been released of the individual police officers wish to speak to. An individual went to the store on Oakley Road driving a vehicle which had fake licence plates.

The tools and mods are reportedly distributed via legitimate-looking GitHub accounts. "Since March 2025, Check Point Research has been tracking malicious GitHub repositories targeting Minecraft ...

Global Fake Image Detection Market Valuation Exceed $ 4.9 Billion by 2030 Dominated by Leading Giants - Microsoft, Google, BioID, Clearview AI, iDenfy, DuckDuckGoose | MarkNtel Advisors In an age ...

One significant development has been the integration of data reconciliation with artificial neural network modelling, which has demonstrated marked improvements in the accuracy and robustness of ...