Lifeboat Foundation: Safeguarding Humanity
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A Marinha dos Estados Unidos fez uma parceria com cientistas do Massachusetts Institute of Technology (MIT) para criar uma rede de sensores barato, portátil que monitora o consumo de energia de cada um dos seus dispositivos domésticos.

O sistema consiste de cinco sensores de tamanho selo-postais colocados acima ou perto de linhas elétricas que entram na casa, que podem identificar cada luminária ou aparelho com base em seu uso de energia. Ele canaliza os dados para um aplicativo em tempo real, permitindo que as pessoas possa ver quando sua geladeira consome para um ciclo de degelo, por exemplo.

“Já existem maneiras de monitorar o uso de energia doméstico, mas elas envolvem a contratação de um eletricista licenciado ou cortando linhas de energia ou tubos caro para anexar, equipamento especializado,” professor de engenharia do MIT e chefe do projeto Stephen Leeb disse em um comunicado de imprensa. “Com o nosso sistema, é possível instalar sensores sem contato usando laços zip ou mesmo velcro, e usar o processamento de sinal para medir o consumo de energia. Também poderia servir como uma maneira de dizer quando o equipamento precisa de manutenção ou substituição.”

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What if a simple algorithm were all it took to program tomorrow’s artificial intelligence to think like humans?

According to a paper published in the journal Frontiers in Systems Neuroscience, it may be that easy — or difficult. Are you a glass-half-full or half-empty kind of person?

Researchers behind the theory presented experimental evidence for the Theory of Connectivity — the theory that all of the brains processes are interconnected (massive oversimplification alert) — “that a simple mathematical logic underlies brain computation.” Simply put, an algorithm could map how the brain processes information. The painfully-long research paper describes groups of similar neurons forming multiple attachments meant to handle basic ideas or information. These groupings form what researchers call “functional connectivity motifs” (FCM), which are responsible for every possible combination of ideas.

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In experiments with magnetic atoms conducted at extremely low temperatures, scientists have demonstrated a unique phase of matter: the atoms form a new type of quantum liquid or quantum droplet state. These so called quantum droplets may preserve their form in absence of external confinement because of quantum effects. The joint team of experimental physicists from Innsbruck and theoretical physicists from Hannover report on their findings in the journal Physical Review X.$$!ad_code_content_spilt_video_ad!$$” Our Quantum droplets are in the gas phase but they still drop like a rock,” explains experimental physicist Francesca Ferlaino when talking about the fascinating experiment. In the laboratory, her team observed how macrodroplets formed in a quantum gas.

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When you see a photo of a dog bounding across the lawn, it’s pretty easy for us humans to imagine how the following moments played out. Well, scientists at MIT have just trained machines to do the same thing, with artificial intelligence software that can take a single image and use it to to create a short video of the seconds that followed. The technology is still bare-bones, but could one day make for smarter self-driving cars that are better prepared for the unexpected, among other applications.

The software uses a deep-learning algorithm that was trained on two million unlabeled videos amounting to a year’s worth of screen time. It actually consists of two separate neural networks that compete with one another. The first has been taught to separate the foreground and the background and to identify the object in the image, which allows the model to then determine what is moving and what isn’t.

According to the scientists, this approach improves on other computer vision technologies under development that can also create video of the future. These involve taking the information available in existing videos and stretching them out with computer-generated vision, by building each frame one at a time. The new software is claimed to be more accurate, by producing up to 32 frames per second and building out entire scenes in one go.

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Since man first explored space, it has been a largely peaceful environment. But now US adversaries are deploying weapons beyond Earth’s atmosphere, leading the US military to prepare for the frightening prospect of war in space.

“As humans go out there, there has always been conflict. Conflict in the Wild West as we move in the West … conflict twice in Europe for its horrible world wars,” Gen. John Hyten, head of US Strategic Command, told CNN. “So, every time humans actually physically move into that, there’s conflict, and in that case, we’ll have to be prepared for that.”

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