Researchers Show How You Can Be Tracked Through Your Location DataNews
A new study by MIT researchers finds that the growing practice of compiling massive, anonymized datasets about people’s movement patterns is a double-edged sword: While it can provide deep insights into human behavior for research, it could also put people’s private data at risk.
Seeing Stress With SupercomputersNews
It's easy to take a lot for granted. Scientists do this when they study stress, the force per unit area on an object. Scientists handle stress mathematically by assuming it to have symmetry, but new supercomputer simulations show that at the atomic level, material stress doesn't behave symmetrically. The findings could help scientists design new materials such as glass or metal that doesn't ice up.READ MORE
A computer model using machine learning and de-identified and aggregated search and location data from logged-in Google users was significantly more accurate in identifying potentially unsafe restaurants than existing methods of consumer complaints and routine inspections.READ MORE
Researchers in Belgium have identified an additional inoculation source – the wooden casks or foeders – for producing lambic beers.READ MORE
Children learn language by observing their environment and connecting the dots between what they see and hear. In computing, learning language is the task of parsers, trained on sentences annotated by humans that describe the structure and meaning behind words. But the annotations may not reflect how people naturally speak. New research describes a parser that learns by observing captioned videos, and associating the words with recorded objects and actions, to mimic the way children learn.READ MORE
A stunning report concludes that researchers often ask statisticians to make "inappropriate requests." Not accidental requests for incorrect statistical analyses; but unscrupulous data manipulation or even fraud.READ MORE
Researchers have taught an artificial intelligence program used to recognise faces on Facebook to identify galaxies in deep space. The result is an AI bot named ClaRAN that scans images taken by radio telescopes.
Over 400,000 people have enrolled in a study, conducted by Stanford and Apple, to determine whether a wearable technology can identify irregular heart rhythms suggestive of atrial fibrillation.READ MORE
Researchers are always seeking more reliable and more efficient communications, for everything from televisions and cellphones to satellites and medical devices. However, some of the most exciting techniques are highly energy demanding. Now, researchers are using brain-inspired machine learning techniques to increase the energy efficiency of wireless receivers to make communications greener.
Studying the 3D of DNA and its dynamics is revealing a lot of information about gene expression, expanding our knowledge of how cells, tissues and organs actually work in health and disease. Properly producing and managing this large amount of data is both challenging and necessary for the progress of this field. In a perspective paper published in Nature Genetics, researchers call for unified standards and suggest guidelines in this emerging and promising research area.READ MORE