Researcher develops algorithm that makes people invisible to surveillance cameras

·1 views

A security researcher has created an algorithm that generates special visual patterns designed to fool surveillance camera systems. The patterns can conceal people, faces, and vehicles from being detected by these cameras. The technique is described as 'adversarial,' meaning it is specifically engineered to confuse and defeat AI-based detection systems. The development raises significant questions about both privacy protection and potential misuse in evading legitimate security monitoring.

Read the full story at TechCrunch

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

London's King's Cross Transforms from Red-Light District to Global AI Hub

King's Cross, once known as one of London's most notorious red-light districts, has undergone a dramatic transformation over the past two decades. The area has reinvented itself and is now recognized as one of the world's leading artificial intelligence hubs. The shift represents a significant urban and economic redevelopment story for the central London neighborhood. The change highlights how formerly neglected city districts can be revitalized through technology investment and urban planning.

0 comments Read more at TechCrunch

TechnologyThe Verge ·

Why Dropbox Remains a Reliable Cloud Backup Choice for PC Builders

A PC builder and game designer turned to Dropbox in 2018 after growing concerned about the risk of losing critical project files stored solely on a local machine. Despite having local backups, the author recognized that keeping all copies in one physical location posed a significant vulnerability. A Dropbox subscription was purchased to add an offsite, cloud-based layer of redundancy. Years on, the service continues to be a trusted part of the author's file protection setup.

0 comments Read more at The Verge

TechnologyThe Verge ·

AI Detection Tools Are Fueling a Growing Crisis of Trust in Writing

Long before generative AI tools like ChatGPT emerged, educators and editors relied on anti-plagiarism software to verify the originality of written work. These tools function by comparing submitted text against large databases of web content and academic publications to identify matching phrases. The rise of AI-generated writing has pushed these detection systems into a new and more complex role. However, growing concerns suggest that AI detectors are contributing to a broader atmosphere of distrust between writers, students, and institutions. The reliability and fairness of such tools are increasingly being questioned as their use becomes more widespread.

0 comments Read more at The Verge

TechnologyArs Technica ·

New Research Suggests Mount Toba Eruption Did Not Nearly Wipe Out Humans

A new study challenges the long-held theory that the massive Mount Toba volcanic eruption nearly drove humanity to extinction. The eruption, which occurred roughly 74,000 years ago in present-day Indonesia, was one of the largest in Earth's history. Scientists previously believed the event triggered a volcanic winter severe enough to devastate early human populations. However, new research suggests the eruption had far less climate impact than previously thought. The findings cast doubt on the so-called 'Toba catastrophe hypothesis' that has shaped our understanding of early human history.

0 comments Read more at Ars Technica