Nefarious AI creates images of delicious food that doesn’t exist


Nefarious AI creates images of delicious food that doesn’t exist
A team of researchers from Tel-Aviv University developed a neural network capable of reading a recipe and generating an image of what the finished, cooked product would look like. As if DeepFakes weren’t bad enough, now we can’t be sure the delicious food we see online is real. The Tel-Aviv team, consisting of researchers Ori Bar El, Ori Licht, and Netanel Yosephian created their AI using a modified version of a generative adversarial network (GAN) called StackGAN V2 and 52K image/recipe combinations from the gigantic recipe1M dataset. Basically, the team developed an AI that can take almost any list of…

This story continues at The Next Web

Tags: Startups, Tel Aviv, Tech, Artificial Intelligence, Tel Aviv University, Gan, Ori Bar El Ori Licht, Netanel Yosephian

Source:  http://feedproxy.google.com/~r/TheNextWeb/~3/_YyrxNhZFog/



Related:
January 11, 2019 at 1:20 PM IBM teaches AI to debate humans by crowdsourcing arguments
January 11, 2019 at 1:19 PM A.I. can generate pictures of a finished meal based on just a written recipe
January 11, 2019 at 12:10 PM Daily Crunch: Bing has a child porn problem
June 16, 2017 at 3:00 PM This is What Happens When You Teach an AI to Name Guinea Pigs