Artificial Intelligence speeds up photodynamics simulations

The prediction of molecular reactions triggered by light is to date extremely time-consuming and therefore costly. A team led by Philipp Marquetand from the Faculty of Chemistry at the University of Vienna has now presented ...

Introducing quantum convolutional neural networks

Machine learning techniques have so far proved to be very promising for the analysis of data in several fields, with many potential applications. However, researchers have found that applying these methods to quantum physics ...

Neural networks will help manufacture carbon nanotubes

Thin films made of carbon nanotubes hold a lot of promise for advanced optoelectronics, energy and medicine, however with their manufacturing process subject to close supervision and stringent standardization requirements, ...

Which is the perfect quantum theory?

For some phenomena in quantum many-body physics, several competing theories exist. But which of them describes a quantum phenomenon best? A team of researchers from the Technical University of Munich (TUM) and Harvard University ...

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 ...

A look inside neural networks

Artificial intelligence (AI) is already firmly embedded in our everyday lives and is conquering more and more territory. For example, voice assistants are already an everyday item in many people's smartphones, cars and homes. ...

Women vs. men—tactical efficiency in football

In modern football, tactics are relevant across all age groups and performance levels. Yet for a long time, they have received little attention in the training process. Today, tactical performance offers enormous potential. ...

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