If you had to do a test, how would you respond? Would you relish the chance to demonstrate your knowledge? Or worry you were about to fall short of the mark and embarrass yourself?
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction of hypothalamus–pituitary ...
NASA's Lunar Trailblazer ended its mission to the moon on July 31. Despite extensive efforts, mission operators were unable to establish two-way communications after losing contact with the spacecraft the day following its ...
A new strategy for strengthening polymer materials could lead to more durable plastics and cut down on plastic waste, according to researchers at MIT and Duke University.
A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework (PGH-VAEs) to enable ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then, that researchers wanted ...
Scientists at the Department of Energy's Oak Ridge National Laboratory have reimagined the capabilities of atomic force microscopy, or AFM, transforming it from a tool for imaging nanoscale features into one that also captures ...
NASA has a long record of monitoring Earth's sea surface height, information critical not only for tracking how the ocean changes over time but also for hurricane forecasting. These extreme storms can cost the United States ...
Japan is famous for its beautiful mountain landscapes as well as for the challenges it offers to avid mountaineers. However, these mountains can get so treacherous that Japan actually records one of the highest numbers of ...
Â鶹ÒùÔºicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system.
