Using neural networks for faster X-ray imaging

A team of scientists from Argonne is using artificial intelligence to decode X-ray images faster, which could aid innovations in medicine, materials and energy.

Oceanographers predict increase in phytoplankton by 2100

A neural network-driven Earth system model has led University of California, Irvine oceanographers to a surprising conclusion: phytoplankton populations will grow in low-latitude waters by the end of the 21st century.

How small is a small-world network?

Discovered in the field of social sciences in the 1960s, the phenomenon known as small-world networks has fascinated popular culture and science for decades. It arose from the observation that in the world, any two people ...

Study answers longstanding cell-development riddle

During the lifetime of a body—whether human, fish or any other type of vertebrate—cells die, making room for fresh new cells to carry on vital processes. The dead cells must be cleared away, though, and debris removal ...

Team programs a humanoid robot to communicate in sign language

For a robot to be able to "learn" sign language, it is necessary to combine different areas of engineering such as artificial intelligence, neural networks and artificial vision, as well as underactuated robotic hands. "One ...

Simulating quantum systems with neural networks

Even on the scale of everyday life, nature is governed by the laws of quantum physics. These laws explain common phenomena like light, sound, heat, or even the trajectories of balls on a pool table. But when applied to a ...

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