Researchers convert 2-D images into 3-D using deep learning

A UCLA research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. ...

Accelerating the grapevine effect

Gossip is an efficient way to share information across large networks and has unexpected applications in solving other mathematical and machine-learning problems.

Artificial intelligence improves seismic analyses

The challenge to analyze earthquake signals with optimum precision grows along with the amount of available seismic data. At the Karlsruhe Institute of Technology (KIT), researchers have deployed a neural network to determine ...

What can machine learning reveal about the solid Earth?

Scientists seeking to understand Earth's inner clockwork have deployed armies of sensors listening for signs of slips, rumbles, exhales and other disturbances emanating from the planet's deepest faults to its tallest volcanoes. ...

Neural networks predict planet mass

To find out how planets form, astrophysicists run complicated and time-consuming computer calculations. Members of the NCCR PlanetS at the University of Bern have now developed a totally novel approach to speed up this process ...

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