Sorting out viruses with machine learning

The ongoing global pandemic has created an urgent need for rapid tests that can diagnose the presence of the SARS-CoV-2 virus, the pathogen that causes COVID-19, and distinguish it from other respiratory viruses. Now, researchers ...

Nervous systems of insects inspire efficient future AI systems

Zoologists at the University of Cologne studied the nervous systems of insects to investigate principles of biological brain computation and possible implications for machine learning and artificial intelligence. Specifically, ...

Research offers path to end world hunger within decade

The world's small-scale farmers now can see a path to solving global hunger over the next decade, with solutions—such as adopting climate-resilient crops through improving extension services—all culled rapidly via artificial ...

Researchers examine COVID-19 impact on manufacturing

Researchers at The University of Texas at Dallas have examined how manufacturers are—or aren't—pivoting successfully in response to major manufacturing disruptions as a consequence of the COVID-19 pandemic.

A leap forward for biomaterials design using AI

Researchers at Tokyo Institute of Technology (Tokyo Tech) have used artificial intelligence (AI) to predict the degree of water repulsion and protein adsorption by ultra-thin organic materials. By enabling accurate predictions ...

Artificial intelligence sheds light on membrane performance

Membrane separations have long been recognized as energy-efficient processes with a rapidly growing market. In particular, organic solvent nanofiltration (OSN) technology has shown considerable potential when applied to various ...

Algorithm predicts the compositions of new materials

A machine-learning algorithm that can predict the compositions of trend-defying new materials has been developed by RIKEN chemists1. It will be useful for finding materials for applications where there is a trade-off between ...

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