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Nous vivons en plein milieu dโune joyeuse รฉpoque dโalgorithmes de recommandation. Sur Facebook par exemple, les petits lutins chargรฉs du stockage de vos donnรฉes รฉpient vos moindres faits et gestes dans le but avouรฉ de vous mettre dans une petite case, de vous ranger dans un dossier afin dโรฉtablir la fiche dโidentification la plus prรฉcise possible.
One of the most significant effects of the ongoing NSA surveillance scandal is that it drew so much attention to the massive secret, official world thatโs grown up in the US since the 9/11 attacks. These clandestine operations have undergone a dramatic recent expansion, there is of course a long history of clandestine activity in the US government. This part of bureaucracy puts out a tremendous number of secret documents, and itโs long been known that much of this information is classified out of habit rather than out of necessity.
The scene is a remote Ethiopian village in 1940. A Farmer offers his herd of 34 goats for sale. One goat is worth, say $7. The villagers don't know how to multiply, so they call in a shaman. They ask him to set a fair price for the whole herd.
In this post: Craig solves a problem thatโs already been solved, except most people get the solution wrong or claim non-optimal solutions are optimal. Hopefully he makes up for any retreading by providing visualizations and working code and explaining real good.
Disney Research has developed an algorithm which can generate 3D computer models from 2D images in great detail, sufficient, it says, to meet the needs of video game and film makers. The technology requires multiple images to capture the scene from a variety of vantage points.