First machine learning method capable of accurate extrapolation

Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation. But how do you know what will break a robot without actually damaging it? A new method developed by scientists ...

Physics Nobel rewards work on complex systems, like climate

Three scientists won the Nobel Prize in physics Tuesday for work that found order in seeming disorder, helping to explain and predict complex forces of nature, including expanding our understanding of climate change.

Traditional computers can solve some quantum problems

There has been a lot of buzz about quantum computers and for good reason. The futuristic computers are designed to mimic what happens in nature at microscopic scales, which means they have the power to better understand the ...

Study: Machine learning a useful tool for quantum control

In the everyday world, we can perform measurements with nearly unlimited precision. But in the quantum world—the realm of atoms, electrons, photons, and other tiny particles—this becomes much harder. Every measurement ...

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.

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