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Users can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.

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We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar models learn. Fifteen years ago, Quiroga et al.1 discovered that the human brain possesses multimodal neurons. These neurons respond to clusters of abstract concepts centered around a common high-level theme, rather than any specific visual feature. The most famous of these was the “Halle Berry” neuron, a neuron featured in both Scientific American⁠(opens in a new window) and The New York Times⁠(opens in a new window), that responds to photographs, sketches, and the text “Halle Berry” (but not other names). Two months ago, OpenAI announced CLIP⁠, a general-purpose vision system that matches the performance of a ResNet-50,2 but outperforms existing vision systems on some of the most challenging datasets. Each of these challenge datasets, ObjectNet, ImageNet Rendition, and ImageNet Sketch, stress tests the model’s robustness to not recognizing not just simple distortions or changes in lighting or pose, but also to complete abstraction and reconstruction—sketches, cartoons, and even statues of the objects. Now, we’re releasing our discovery of the presence of multimodal neurons in CLIP. One such neuron, for example, is a “Spider-Man” neuron (bearing a remarkable resemblance to the “Halle Berry” neuron) that responds to an image of a spider, an image of the text “spider,” and the comic book character “Spider-Man” either in costume or illustrated. Our discovery of multimodal neurons in CLIP gives us a clue as to what may be a common mechanism of both synthetic and natural vision systems—abstraction. We discover that the highest layers of CLIP organize images as a loose semantic collection of ideas, providing a simple explanation for both the model’s versatility and the representation’s compactness.

Americantendance

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Wordnet Productions is a Catholic media ministry that produces a variety of digital programming and print materials to inspire audiences worldwide. Wordnet shares God's love through media! TV show "The Word in The World" with host Father Mike Manning, SVD, airs weekly on TBN Sundays and on The Church Channel Tuesdays, with an average of 200,000 viewers per episode. In the half-hour show, Father Mike preaches or interviews guests. Musical performances and guest interviews feature personalities and artists such as Jose Feliciano, John Fugelsang, Tajci, Mike Sweeny, Catherine Hicks and John August Swanson. Wordnet's mobile app iGodTODAY presents daily video reflections on Scripture.You can bookmark your favorite iGod episodes for later reference, or even download and keep them with you for offline entertainment and inspiration. Wordnet's iGOD TODAY Web Channel features 24/7 streaming of Christian/ Catholic programming from Wordnet Productions and other partnering producers.

Vídeos engraçados variáveis e de terror

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Bem-vindo ao Mundo dos Animais de Estimação, onde você pode encontrar muitos vídeos fofos, hilários e adoráveis, compilações de animais fofos, tentar não rir de desafios, falhas, vitórias e vídeos virais engraçados sobre Animais de Estimação e Animais. Se você é um amante dos animais, você está no lugar certo. Porque vamos trazer para você vídeos diários dos animais de estimação mais fofos do mundo. Você está pronto para isso? Certifique-se de se inscrever e apertar o botão para receber atualizações diárias. obrigado