Cornell researchers have proposed a way to help forensic experts tell AI-manipulated videos from genuine ones by using specially designed light sources.

Programmable lights with secret codes could give fact-checkers a powerful tool against deepfakes, say Cornell computer scientists.

The concept, called noise-coded illumination, was presented August 10 at SIGGRAPH 2025 in Vancouver, British Columbia, by Peter Michael, a Cornell computer science graduate student who ...

The phrase “AI revolution” has been thrown around so much over the past few years that it’s starting to feel repetitive and ...

Solar storms that fling magnetism across the solar system can knock out satellites, power grids, communication and navigation ...

Master the art of shading with more than one light source! Learn simple tips to create dynamic, realistic lighting that ...

Other light sources, such as bright floodlights and illuminated doorbells to decorative lights in yards and gardens, made up about a quarter of the lights observed.

Insects do not fly toward light, scientists have found with infrared lights and three-dimensional motion-capture cameras.