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
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Telepro wants to help companies integrate telecommunications without too much fuss Another day, another city for the e27 TOP100 competition. Over the weekend, we landed in Hanoi, Vietnam to listen to the best pitches the city has to offer. A handful of fantastic startups pitched to win the regional competition — and receive a full […]
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