In the business world, data scientists seeking insights from the big data deluge are looking for ways to maximize the potential of all their contemporary and high-performance computing analytics systems. Many are trying for force-fit what they have to answer their business questions. In reality, what’s happening in many cases is that technology is dictating what businesses can do with — and ask from — their valuable data.
Reproducibility is one of the cornerstones of science. Made popular by Robert Boyle in the 1660s, the idea is that a discovery should be reproducible before being accepted as scientific knowledge. In essence, you should be able to produce the same results if you follow the method I describe when announcing my discovery in a scholarly publication. If not, we’re left wondering what accident or mistake produced the original favorable result.
For the first time since Gravity Probe A, researchers have the opportunity to improve precision and confirm Einstein’s theory to a higher degree. This will test several alternative theories of gravity. The new effort takes advantage of the passive hydrogen maser atomic clock aboard each Galileo, the elongated orbits creating varying time dilation, and continuous monitoring thanks to the global network of ground stations.
The 1999 Odisha Cyclone struck the east coast of India, knocking out whole swaths of the Indian Railways Network. In 2012, power blackouts in India idled 300 passenger trains and commuter lines. Closer to home, severe winter storms hit Boston in 2014 to 2015 bringing the mass-transit system to its knees. There is an urgent need for systematic strategies for recovering critical lifelines once disasters strike.
In case you missed them, here’s another chance to catch this week’s greatest hits. Flaring, active regions of our Sun captured by several telescopes; the Internet's dependence on undersea cables; On-the-Go! fascinating facts about USB OTG; how we invented a Star Trek-style sonic tractor beam; and one of largest cosmological simulations ever run were all among the top stories.
In a unique collaboration, UNSW, Sydney, and Australian photographer Tamara Dean set out to “show our knowledge seekers in a different light, in their environment. Not in a way the public normally sees them and their work.” They had the ingenious idea to “help take our research out into the world” to showcase scientists working in the elements to address problems like climate change, endangered species and marine pollution.
At the Siggraph Asia conference, MIT researchers presented a pair of papers describing techniques for either magnifying or smoothing out small variations in digital images. The techniques could be used to produce more polished images for graphic-design projects, or, applied in the opposite direction, they could disclose structural defects, camouflaged objects, or movements invisible to the naked eye that could be of scientific interest.
Toyota is investing $1 billion in a research company it's setting up in Silicon Valley to develop AI and robotics, underlining the automaker's determination to lead in futuristic cars that drive themselves and apply the technology to other areas of daily life. The company will start operating from January 2016, with 200 employees at a facility near Stanford University. A second facility will be established near MIT in Cambridge.
Human beings will always be explorers. We’ve pretty well surveyed our planet, our tiny blue dot, for answers and only found more questions. We’ve already taken baby steps out into the solar system. But cheap, affordable space travel would be revolutionary, heralding in technologies we haven’t even imagined. But here’s the thing: we won’t be heading to the stars in a rocket. Rockets are a terrible way of getting to space.
November 8 marks the 120th anniversary of one of the greatest moments in the history of science: an obscure German physics professor’s discovery of the X-ray. In the six weeks that followed, Wilhelm Roentgen devoted nearly every waking hour to exploring the properties of the new rays before announcing his discovery to the world. Within just months, scientists worldwide were experimenting with the newly discovered rays.
NASA's Hubble Space Telescope has unveiled a small section of the expanding remains of a massive star that exploded about 8,000 years ago. Called the Veil Nebula, the debris is one of the best-known supernova remnants, deriving its name from its delicate, draped filamentary structures. The entire nebula is 110 light-years across, covering six full moons on the sky as seen from Earth, and resides about 2,100 light-years away.
At the University of Miami’s Center for Computational Science, more than 2,000 internal researchers and a dozen expert collaborators across academic and industry sectors worldwide are working together in workflow management, data management, data mining, decision support, visualization and cloud computing. CCS maintains one of the largest centralized academic cyberinfrastructures in the country, which fuels vital and critical discoveries.
New scientific analysis shows fingerprints of manmade climate change on 14 extreme weather events in 2014, hitting every continent but Antarctica. Dozens of scientists from the National Oceanic and Atmospheric Administration and across the world examined 28 strange weather conditions last year to see if global warming partly increased their likelihood or strength. In a 180-page report, they spotted effects of climate change in half...
This Sentinel-1A radar image was processed to depict water in blue and land in earthen colors. It features some of the Azore islands about 1600 kilometers west of Lisbon, including the turtle-shaped Faial, the dagger-like Sao Jorge and Pico Island, with Mount Pico reaching over 2351 meters in height. The image highlights the differences in the relief of the islands, with volcanoes and mountains clearly standing out.
Cycle Computing CTO Rob Futrick will be the keynote speaker at DataCloud 2015, the 6th International Workshop on Data Intensive Computing in the Clouds. In his talk, Futrick will pose the question, “Why would you NOT use public clouds for your big compute workloads?” His presentation will outline the shift toward the cloud for compute-intensive and data-intensive workloads that have historically been executed on in-house HPC environments.