28/12/2018

Deep learning for electron microscopy

Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...

Fail-safe, reconfigurable chips

Researchers at the Telecommunications and Multimedia Applications Institute (iTEAM) of Valencia's Polytechnic University (UPV) have taken a step toward creating an infallible chip. They have developed an advanced method for ...

Scientists model Mercury's glaciers

The processes that led to glaciation at the cratered poles of Mercury, the planet closest to the sun, have been modeled by a University of Maine-led research team.

Lidar accelerates hurricane recovery in the Carolinas

Hurricane Florence's slow trot over North and South Carolina in September led to inundating rain, record storm surges, and another major disaster for the Federal Emergency Management Agency (FEMA) to contend with. Facing ...

Distinguishing between students who guess and those who know

Measuring the knowledge of students in online courses poses a number of challenges. Researchers from the Higher School of Economics and the University of Leuven made improvements to the model for assessing academic achievements ...

New hydraulic actuator will make robots tougher

Researchers at the Tokyo Institute of Technology (Tokyo Tech) have developed a hydraulic actuator that will allow tough robots to operate in disaster sites and other harsh environments. The Tokyo Tech Venture H-MUSCLE Corporation ...

Self-sorting through molecular geometries

Researchers at Kanazawa University report in Communications Chemistry that certain pentagonal and hexagonal organic molecules exhibit self-sorting. The effect can be used to grow multilayered tubular structures that preserve ...

page 2 from 6