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OpenAI Multimodal Research
A long-term objective of artificial intelligence is to build “multimodal” neural networks—AI systems that learn about concepts in several modalities, primarily the textual and visual domains, in order to better understand the world. In our latest research announcements, we present two neural networks that bring us closer to this goal. The first neural network, DALL·E, can successfully turn tex
OpenAI debuts DALL-E for generating images from text
OpenAI today debuted two multimodal AI systems that combine computer vision and NLP: DALL-E, a system that generates images from text, and CLIP, a network trained on 400 million pairs of images and text. The photo above was generated by DALL-E from the text prompt “an illustration of a baby daikon radish in a tutu walking a dog.” DALL-E uses a 12-billion parameter version of GPT-3, and like GPT-3
DeepFakes, Can You Spot Them?
Interested in more research? Participate in our "Same Person or Not?" study! AI-generated or Real? In this "Detect Fakes" experiment, brought to you by Northwestern's Kellogg School of Management, you will be presented with a series of images. These images may either be real photographs or AI-generated images. Our aim is to understand how well people can distinguish between real and AI-created ima
NTR Wetenschap
Sinds tien jaar stijgt het aantal mensen met schurft in Nederland, vooral onder jongeren en studenten. De cijfers willen maar niet naar beneden. Er zijn crèmes en pillen die vooralsnog goed werken tegen de schurftmijt. Waarom is schurft dan toch zo lastig te bestrijden? En wat kan de wetenschap doen om deze infectieziekte met gekmakende jeuk te helpen terugdringen? Presentatrice Petra Grijzen gaat
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GitHub - upscayl/upscayl: 🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
DALL·E 2
AI movie posters
Artbreeder
GitHub - lllyasviel/style2paints: sketch + style = paints (TOG2018/SIGGRAPH2018ASIA)