A group of Cornell computer scientists has unveiled what they believe could be a new tool in the fight against AI‑generated video, deepfakes and doctored clips.<br /> The watermarking technique, called “noise‑coded illumination,” hides verification data in light itself to help investigators spot doctored videos. The approach, devised by Peter Michael, Zekun Hao, Serge Belongie and assistant professor Abe Davis, was published in the June 27 issue of ACM Transactions on Graphics and will be presented by Michael at SIGGRAPH on August 10.<br /> The system adds a barely perceptible flicker to light sources in a scene. Cameras record this pseudo-random pattern even though viewers cannot detect it, and each lamp or screen that flickers carries its own unique code.<br /> [...]
Channels once banned by YouTube for spreading false information regarding the COVID-19 pandemic or the 2020 election may soon have the opportunity to get their channels back, in a decision transparent [...]
A CISO who sees a low CVE count and deprioritizes prompt injection is reading the scoreboard wrong. Prompt injection has held the No. 1 spot on the OWASP Top 10 for LLM Applications for three consecut [...]
Philips Hue has introduced a new software feature called SpatialAware at CES 2026 designed to ensure that all the lights in a space are in harmony with each other. Available exclusively for the Hue Br [...]