Machine learning reveals rapid material classification

A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum. This process may rapidly accelerate ...

How human networks drive inequality, social immobility

To understand why people succeed or fail, look at their circle of friends. Like it or not, said Stanford economist Matthew Jackson, people's fates are closely connected to their human networks.

A novel material for transparent and flexible displays

The next generation of flexible and transparent displays will require a high-performing and flexible polymeric material that has the optical and thermal properties of glass. The material must be transparent to visible light ...

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 ...

Computing solutions for biological problems

Producing research outputs that have computational novelty and contributions, as well as biological importance and impacts, is a key motivator for computer scientist Xin Gao. His Group at KAUST has experienced a recent explosion ...

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