The internet giant has spent years migrating the source of electric power at its giant data centers to sources like wind turbines and solar panels.
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Robots have been a major focus in the technology world for decades and decades, but they and basic science, and for that matter everyday life, have largely been non-overlapping magisteria. That’s changed over the last few years, as robotics and every other field have come to inform and improve each other, and robots have begun to infiltrate and affect our lives in countless ways. So the only surprise in the news that the prestigious journal group Science has established a discrete Robotics imprint is that they didn’t do it earlier.
Editor Guang-Zhong Yang and president of the National Academy of Sciences Marcia McNutt introduce the journal:
In a mere 50 years, robots have gone from being a topic of science fiction to becoming an integral part of modern society. They now are ubiquitous on factory floors, build complex deep-sea installations, explore icy worlds beyond the reach of humans, and assist in precision surgeries… With this growth, the research community that is engaged in robotics has expanded globally. To help meet the need to communicate discoveries across all domains of robotics research, we are proud to announce that Science Robotics is open for submissions.
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New report: rise of the machines: the dyn attack was just A practice run.
As the adversarial threat landscape continues to hyper-evolve, America’s treasure troves of public and private data, IP, and critical infrastructure continues to be pilfered, annihilated, and disrupted. The Mirai IoT botnet has inspired a renaissance in adversarial interest in DDoS botnet innovation based on the lack of fundamental security-by-design in the Internet and in IoT devices, and based on the lack of basic cybersecurity and cyber-hygiene best practices by Internet users.
http://icitech.org/icit-publication-the-rise-of-the-machines…ctice-run/
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The Goldilocks zone with telomere length is the key.
Ever since researchers connected the shortening of telomeres—the protective structures on the ends of chromosomes—to aging and disease, the race has been on to understand the factors that govern telomere length. Now, scientists at the Salk Institute have found that a balance of elongation and trimming in stem cells results in telomeres that are, as Goldilocks would say, not too short and not too long, but just right.
The finding, which appears in the December 5, 2016, issue of Nature Structural & Molecular Biology, deepens our understanding of stem cell biology and could help advance stem cell-based therapies, especially related to aging and regenerative medicine.
“This work shows that the optimal length for telomeres is a carefully regulated range between two extremes,” says Jan Karlseder, a professor in Salk’s Molecular and Cell Biology Laboratory and senior author of the work. “It was known that very short telomeres cause harm to a cell. But what was totally unexpected was our finding that damage also occurs when telomeres are very long.”
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Last year, scientists started up a new type of massive nuclear fusion reactor for the first time, known as a stellarator.
Researchers at the Max Planck Institute in Greifswald, Germany, injected a tiny amount of hydrogen and heated it until it became plasma, effectively mimicking conditions inside the sun.
But since then scientists have been asking whether the ambitious device — named Wendelstein 7-X (W7-X) — works as it is supposed to, producing the right magnetic fields.
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Money makes the world go round, or so they say. Payments, investments, insurance and billions of transactions are the beating heart of a fractal economy, which echoes the messy complexity of natural systems, such as the growth of living organisms and the bouncing of atoms.
Financial systems are larger than the sum of their parts. The underlying rules that govern them might seem simple, but what surfaces is dynamic, chaotic and somehow self-organizing. And the blood that flows through this fractal heartbeat is data.
Today, 2.5 exabytes of data are being produced daily. That number is expected to grow to 44 zettabytes a day by 2020 (Source: GigaOm). This data, along with interconnectivity, correlation, predictive analytics and machine learning, provides the foundation for our AI-powered future.
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