TechXplore: Reconstructing histological slices into 3-D images

TechXplore: Reconstructing histological slices into 3-D images. “Despite advances in 3D imaging such as MRI and CT, scientists still rely on slicing a specimen into 2-D sections to acquire the most detailed information. Using this information, they then try to reconstruct a 3-D image of the specimen. Researchers from Nara Institute of Science and Technology report a new algorithm that can do this task at less cost and higher robustness than standard methods.”

EurekAlert: One class in all languages

EurekAlert: One class in all languages. “Now anyone from around the world can listen live to a Nobel Prize Laureate lecture or earn credits from the most reputable universities with nothing more than internet access. However, the possible information to be gained from watching and listening online is lost if the audience cannot understand the language of the lecturer. To solve this problem, scientists at the Nara Institute of Science and Technology (NAIST), Japan, presented a solution with new machine learning at the 240th meeting of the Special Interest Group of Natural Language Processing, Information Processing Society of Japan (IPSJ SIG-NL).”