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AdultBrain Audiobook Publishing. Bringing Rare and Forgotten Books to Audio for the World

Hello. Hey, Welcome to Adult Brain.ca audiobook publishing. Thanks for stopping by. We bring rare and forgotten audio books to the world. Books on Theosophy, Spiritualism, History, Political Philosophy, Forteana, Secret Societies, Magic, Occultism, Mystery Schools, Mythology, Ancient Wisdom, Religion. We'll be highlighting on this channel some very interesting audiobooks. Sometimes it can only be a sample, but when possible we will share the whole book. And hopefully we can find some other creative ways on this channel to bring you some interesting audiobook content. These are just some of the great authors we have now on audio.... H.G. Wells, Manly P. Hall, Charles Fort, Madame Blavatsky , Annie Besant, Henry Cornelius Agrippa Gerald Massey, Alvin Boyd Kuhn, Arthur Conan Doyle, Charles William Heckethorn, Alfred Russel Wallace, John Yarker , Francis Bacon, Rudolph Steiner, Bertrand Russel , Cotton Mather, Joseph Ennemoser, John Robison, A.P. Sinnett, George Bernard Shaw, Margaret Sanger, Professor Ted You can find all of our books at adultbrain.ca and for the full versions you can go straight to Audible or Itunes/Apple Books. Thanks for listening! Please subscribe and comment. We look forward to hearing from you. https://adultbrain.ca/ https://www.instagram.com/adultbrain.ca/

TheFreeRangeBrain

BrianRathbun

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.

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.