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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.

Nasa Experiments Videos

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The NASA video showcases breathtaking views of space, Earth, and various celestial bodies. It features stunning footage captured by advanced telescopes and spacecraft, revealing the beauty and mysteries of the universe. The video takes viewers on a journey through distant galaxies, sparkling stars, and intricate planetary systems, while also highlighting the groundbreaking research and exploration conducted by NASA’s scientists and astronauts. With captivating visuals and informative narration, the video offers a glimpse into the remarkable discoveries and ongoing efforts of NASA to understand and explore the cosmos.

Entertainment videos

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Welcome to Senseful- Your Ultimate Destination for Non-Stop Entertainment! 🎉 Get ready to embark on a thrilling journey through the world of entertainment with us. Our channel is your one-stop hub for all things fun, fascinating, and fabulous. From hilarious comedy sketches to mind-bending magic tricks, from jaw-dropping stunts to heartwarming stories, we've got it all covered. Join our vibrant community of viewers who share a passion for laughter, excitement, and pure enjoyment. Whether you're in need of a good laugh, seeking inspiration, or just looking to unwind after a long day, you'll find it right here. Don't forget to hit that subscribe button and ring the notification bell 🔔 to stay updated with our latest videos. Grab your popcorn, sit back, and let the entertainment begin! 🍿✨ Get ready to Rumble with us - where every video is an adventure!"