Businesses and government agencies need a way to authenticate the images they exchange electronically. A classic solution is to hide a “digital watermark” in a color or gray-scale image by making imperceptible changes in the colors or brightnesses of individual pixels. But for black text on a white background, this approach doesn’t work so well: flipping even one white pixel to black on a field of white can produce a visible irregularity. Now University of Maryland information scientist Min Wu is perfecting software that adds secret data to such documents by subtly altering pixels in small blocks along the edges of letters, where the changes are virtually unnoticeable. Each block encodes a single binary digit; together, the digits constitute a signature that can be extracted to prove an image hasn’t been forged or altered. If it has, the hidden signature doesn’t appear, or becomes mush. Wu says officials at Princeton University, where she began work on the software as a PhD student, are talking with potential licensees about putting it to work in commercial document-verification systems.
The gene-edited pig heart given to a dying patient was infected with a pig virus
The first transplant of a genetically-modified pig heart into a human may have ended prematurely because of a well-known—and avoidable—risk.
Meta has built a massive new language AI—and it’s giving it away for free
Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3
Saudi Arabia plans to spend $1 billion a year discovering treatments to slow aging
The oil kingdom fears that its population is aging at an accelerated rate and hopes to test drugs to reverse the problem. First up might be the diabetes drug metformin.
The dark secret behind those cute AI-generated animal images
Google Brain has revealed its own image-making AI, called Imagen. But don't expect to see anything that isn't wholesome.
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