Deep learning from a dynamical viewpoint

NUS mathematicians have developed a new theoretical framework based on dynamical systems to understand when and how a deep neural network can learn arbitrary relationships.

A machine for sorting zebrafish eggs

Zebrafish eggs are among the most commonly used model organisms in genetic, developmental and toxicology research. A device developed by EPFL spin-off Bionomous cuts the time it takes to sort these embryos from several hours ...

Tracking invasive plants from space

Invasive plant species do more than harm agriculture and native species as they reshape landscapes. They also cause economic losses of more than $20 billion annually in the U.S. alone. Identifying where and how quickly invasive ...

Deep earthquakes suggest well-hydrated Mariana subduction zone

On the surface, subduction zones manifest as oceanic trenches, the deepest of which is the Mariana Trench in the Pacific Ocean. One notable feature of many trenches is their outer rise, a shallow bulge on the outskirts of ...

Scaling up cell imaging

Scientists have learned a lot about human biology by looking at cells under a microscope, but they might not notice tiny differences between cells or even know what they're looking for. Researchers at the Broad Institute ...

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