Machine learning guides carbon nanotechnology

Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach, developed by researchers at Japan's Tohoku University ...

Charting a course toward quantum simulations of nuclear physics

In nuclear physics, like much of science, detailed theories alone aren't always enough to unlock solid predictions. There are often too many pieces, interacting in complex ways, for researchers to follow the logic of a theory ...

Using computer simulations to discover where Neanderthals lived

Archaeologist Fulco Sherjon has used computer simulations to identify where and how Neanderthals lived in West Europe. What stood out was that they probably had lots of children and lived in smaller groups than was previously ...

Using 3D printers to print out self-learning robots

When the robots of the future are set to extract minerals from other planets, they need to be both self-learning and self-repairing. Researchers at Oslo University have already succeeded in producing self-instructing robots ...

Nations "failing to save earth's wildlife"

The world can dramatically improve the rate at which it rescues imperilled species if it starts choosing the land set aside as protected areas more wisely, international scientists say.

Programming model for supercomputers of the future

The demand for even faster, more effective, and also energy-saving computer clusters is growing in every sector. The new asynchronous programming model GPI from Fraunhofer ITWM might become a key building block towards realizing ...

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