Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

A pilot program is researching how new wireless moisture sensors can improve wildfire risk detection A pilot program is researching how new wireless moisture sensors can improve wildfire risk ...

SPRINGFIELD — Prior to her death from lung cancer in 2025, Springfield attorney Amy Keil Schmidt emphasized the importance of early detection of the disease in a social media post: If caught at Stage ...

Social Security's trust fund is projected to run out of money in just six years, triggering automatic cuts in retirement and disability benefits. Yet experts say the program's financial problems are ...

Rank One, whose board includes a former CIA deputy director and a former FBI science chief, supplied face recognition to Meta for internal development of its smart glasses app. Meta is testing ...

Moonshot AI just dropped Kimi-K2.7-Code, an open-source coding model that wants to make AI-assisted programming less wasteful and more capable. The Beijing-based company claims the model cuts ...

Abstract: Over the past five decades, automated face recognition (FR) has progressed from handcrafted geometric and statistical approaches to advanced deep learning architectures that now approach, ...

more than 50 million times. A day later, the company removed it. Meta won't tell us why or whether it's coming back. Let's start at the beginning and explain why this matters.