A high-throughput AI method for leaf counting

In cereal crops, the number of new leaves each plant produces is used to study the periodic events that constitute the biological life cycle of the crop. The conventional method of determining leaf numbers involves manual ...

How cellular growth rate reshapes cell-fate-decision landscape

Genes and the regulation relationships among them create complex networks that determine cell differentiation trajectories. However, we still cannot understand and predict the cell-fate-decision process using network topology ...

Neural networks could help predict destructive earthquakes

An artificial neural network has taken its first steps toward predicting the timing and size of future destructive earthquakes, according to RIKEN researchers. Their paper is published in the journal Nature Communications.

Climate simulation more realistic with artificial intelligence

Accurately modeling extreme precipitation events remains a major challenge for climate models. These models predict how the earth's climate may change over the course of decades and even centuries. To improve them especially ...

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