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Synthetic images can also be used to train AI algorithms for art authentication and to detect forgeries. [156] Researchers have also introduced models that predict emotional responses to art. One such model is ArtEmis, a large-scale dataset paired with machine learning models.
CLIP is a separate model based on contrastive learning that was trained on 400 million pairs of images with text captions scraped from the Internet. Its role is to "understand and rank" DALL-E's output by predicting which caption from a list of 32,768 captions randomly selected from the dataset (of which one was the correct answer) is most ...
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.
Zijiao Chen can read your mind, with a little help from powerful artificial intelligence and an fMRI machine.
Generative adversarial network – Deep learning method; Generative pre-trained transformer – Type of large language model; Large language model – Type of machine learning model; Music and artificial intelligence – Usage of artificial intelligence to generate music; Generative AI pornography – Explicit material produced by generative AI
Ai-Da can be displayed in either a standing or seated position; although it has legs, it cannot walk. [12] A pair of cameras in the robot's eyes allow the robot to both make eye contact and, in conjunction with a computer vision algorithm and a modified robotic arm, create sketches of the robot's surroundings. [10]
The ImageNet training set contained 1.2 million images. The model was trained for 90 epochs over a period of five to six days using two Nvidia GTX 580 GPUs (3GB each). [ 1 ] These GPUs have a theoretical performance of 1.581 TFLOPS in float32 and were priced at US$500 upon release. [ 3 ]
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