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Today, Freedom of the Press Foundation is publishing an open letter to the world’s leading camera manufacturers—including Nikon, Sony, Canon, Olympus, and Fuji—urging them to build encryption into their still photo and video cameras to help protect the filmmakers and photojournalists who use them. The letter is signed by over 150 documentary filmmakers and photojournalists from around the world, including fifteen Academy Award nominees and winners, such as Laura Poitras, Alex Gibney, Joshua Oppenheimer, and many more. You can read the full text below.

Source : Over 150 filmmakers and photojournalists call on major camera manufacturers to build encryption into their cameras

Suleyman also argued that the kind of General AI we see in movies today probably won’t look anything like the general AI systems we will get decades from now. “When it comes to imagining what the future will be like, a lot of that is fun and entertaining, but it doesn’t bear a great deal of resemblance to the systems that we are building,” he said. “I can’t really think of a film that makes me think: yeah – AI looks like that.”

Source : DeepMind’s Mustafa Suleyman says general AI is still a long way off | TechCrunch

La police de Floride a récemment arrêté qui s’adonnait au crime de voyeurisme avec son iPhone 5. Au cours de son interpellation, l’homme a autorisé verbalement les forces de l’ordre à fouiller son smartphone. Mais il est ensuite revenu sur sa décision en refusant de donner le mot de passe à 4 chiffres indispensable à cette opération.
Un premier magistrat a refusé que la police puisse forcer l’homme à donner son code au motif que cette demande revenait à l’obliger à témoigner contre lui-même, une pratique interdite par le cinquième amendement de la Constitution.
Mais aujourd’hui, la décision a été annulée par la cour d’appel de Floride. Celle-ci a considéré que le mot de passe n’est pas directement relié à des photos ou des vidéos criminelles qui pourraient figurer — ou pas — sur le smartphone.

Source : En Floride, la police peut forcer un accusé à dévoiler le code de son smartphone – Politique – Numerama

Microsoft Translator erodes language barrier for in-person conversations

“Instead of the word being a thing by itself, it is represented by a 500-dimensional vector, or basically a 500 set of numbers, and each of those numbers capture some aspect of the word,” Menezes explained. To create a translation, neural networks model the meaning of each word within the context of the entire sentence in a 1,000-dimensional vector, whether the sentence is five or 20 words long, before translation begins. This 1,000-dimension model – not the words – is translated into the other language.

Source : Microsoft Translator erodes language barrier for in-person conversations – Next at Microsoft

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