Scientists at the Joint Research centre, the European Commission's science and knowledge service, simulated real-world social networks to assess the best strategies for halting epidemics.
A University of Texas at Dallas graduate student, his advisor and industry collaborators believe they have addressed a long-standing problem troubling scientists and engineers for more than 35 years: How to prevent the tip of a scanning tunneling microscope from crashing into the surface of a material during imaging or lithography
Berkeley Lab mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine learning methods, this new approach 'learns' much more quickly and requires far fewer images.
Studying data from Twitter, University of Illinois researchers found that less people tweet per capita from larger cities than in smaller ones, indicating an unexpected trend that has implications in understanding urban pace of life.
A new MIT-Princeton robotic arm could lend a hand in warehouse sorting and other picking tasks.
Why fix a road today if it's slated to be ripped up for new sewers next summer? This kind of question is at the heart of research from Tarek Zayed, and Amin Hammad, professors in Concordia's Department of Building, Civil and Environmental Engineering (BCEE), and PhD candidates Soliman A. Abu-Samra and Mahmoud Ahmed.
A team of American Museum of Natural History researchers has created a computational model capable of predicting whether or not organisms have the ability to 'eat' other cells through a process known as phagocytosis. The model may be a useful tool for large-scale microbe surveys and provides valuable insight into the evolution of complex life on Earth, challenging ideas put forward in recent studies.
A paper called 'Algorithms in the historical emergence of word senses'--that appears online today in the Proceedings of the National Academy of Sciences (PNAS)--is the first to look at 1,000 years of English development and detect the kinds of algorithms that human minds have used to extend existing words to new senses of meaning. This kind of 'reverse engineering' of how human language has developed could have implications for natural language processing by machines.
In the midst of an unseasonably warm winter in the Pacific Northwest, a comparison of four publicly available climate projections has shown broad agreement that the region will become considerably warmer in the next century if greenhouse gas concentrations in the atmosphere rise to the highest levels projected in the the Intergovernmental Panel on Climate Change (IPCC) 'business-as-usual' scenario.
Honeybees gathering nectar inspired an algorithm that eased the burden of host servers handling unpredictable traffic by about 25 percent. Nature can inspire some great engineering, but it can also lead to some flops. Take slime mold: Standard algorithms beat it hands down to model connectivity. AAAS annual meeting presentation by systems researcher Craig Tovey.