CNN: Instagram head says company is evaluating how to handle deepfakes

CNN: Instagram head says company is evaluating how to handle deepfakes . “Instagram head Adam Mosseri said the photo-sharing platform is still figuring out how to address doctored videos, also known as deepfakes. ‘We don’t have a policy against deepfakes currently,’ Mosseri told CBS This Morning co-host Gayle King in an interview that aired Tuesday. ‘We’re trying to evaluate if we wanted to do that and if so, how you would define deepfakes.'”

Behind the magic: Making moving photos a reality (EurekAlert)

EurekAlert: Behind the magic: Making moving photos a reality. “People moving in and out of photographs used to be reserved for the world of Harry Potter. But now computer scientists at the University of Washington have brought that magic to real life. Their algorithm, Photo Wake-Up, can take a person from a 2D photo or a work of art and make them run, walk or jump out of the frame.”

Federal News Network: NARA considers blockchain to verify records amid rise in deepfake videos

Federal News Network: NARA considers blockchain to verify records amid rise in deepfake videos. “The National Archives and Records Administration is exploring whether blockchain technology can help records management officials keep track of their vast stores of information, following the successful rollout of the emerging technology elsewhere in government.”

Wired: To Fight Deepfakes, Researchers Built a Smarter Camera

Wired: To Fight Deepfakes, Researchers Built a Smarter Camera. “One of the most difficult things about detecting manipulated photos, or ‘deepfakes,’ is that digital photo files aren’t coded to be tamper-evident. But researchers from New York University’s Tandon School of Engineering are starting to develop strategies that make it easier to tell if a photo has been altered, opening up a potential new front in the war on fakery.”

Ars Technica: Deepfakes are getting better—but they’re still easy to spot

Ars Technica: Deepfakes are getting better—but they’re still easy to spot. “There are big challenges to wielding this new technique maliciously against you and me. The system relies on fewer images of the target face, but requires training a big model from scratch, which is expensive and time consuming, and will likely only become more so. They also take expertise to wield. It’s unclear why you would want to generate a video from scratch, rather than turning to, say, established techniques in film editing or PhotoShop.”

Mona Lisa frown: Machine learning brings old paintings and photos to life (TechCrunch)

TechCrunch: Mona Lisa frown: Machine learning brings old paintings and photos to life. “Machine learning researchers have produced a system that can recreate lifelike motion from just a single frame of a person’s face, opening up the possibility of animating not just photos but also paintings. It’s not perfect, but when it works, it is — like much AI work these days — eerie and fascinating.”

New York Post: Attention-hungry people are faking vacations on Instagram

New York Post: Attention-hungry people are faking vacations on Instagram. “Looking to live the glamorous, well-traveled life — and stir envy among your Instagram followers — but can’t afford it? Well, now you can have a photo of yourself digitally altered to make it seem like you can.”