New tool to predict polymer properties

An interdisciplinary team of researchers has developed a powerful mathematical modelling tool that will allow researchers to predict the properties of polymer networks before they are even created.

Computer-assisted biology: Decoding noisy data to predict cell growth

Scientists from The University of Tokyo Institute of Industrial Science have designed a machine learning algorithm to predict the size of an individual cell as it grows and divides. By using an artificial neural network that ...

To find the right network model, compare all possible histories

Two family members test positive for COVID-19—how do we know who infected whom? In a perfect world, network science could provide a probable answer to such questions. It could also tell archeologists how a shard of Greek ...

Autofocusing of microscopy images using deep learning

Optical microscopes are frequently used in biomedical sciences to reveal fine features of a specimen, such as human tissue samples and cells, forming the backbone of pathological imaging for disease diagnosis. One of the ...

NASA contacts Voyager 2 using upgraded Deep Space Network dish

On Oct. 29, mission operators sent a series of commands to NASA's Voyager 2 spacecraft for the first time since mid-March. The spacecraft has been flying solo while the 70-meter-wide (230-foot-wide) radio antenna used to ...

Time crystals lead researchers to future computational work

Time crystals sound like something out of science fiction, but they may be the next major leap in quantum network research. A team based in Japan has proposed a method to use time crystals to simulate massive networks with ...

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