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Materials Science - Computer Science - 21.01.2021
New metamaterial offers reprogrammable properties
New metamaterial offers reprogrammable properties
Scientists have developed a metamaterial whose mechanical properties can be reprogrammed on demand and whose internal structure can be modified by applying a magnetic field. Over the past 20 years, scientists have been developing metamaterials, or materials that don't occur naturally and whose mechanical properties result from their designed structure rather than their chemical composition.

Music - Computer Science - 19.01.2021
Machine learning helps retrace evolution of classical music
Machine learning helps retrace evolution of classical music
Researchers in EPFL's Digital and Cognitive Musicology Lab in the College of Humanities used an unsupervised machine learning model to 'listen to' and categorize more than 13,000 pieces of Western classical music, revealing how modes - such as major and minor - have changed throughout history. Many people may not be able to define what a minor mode is in music, but most would almost certainly recognize a piece played in a minor key.

Computer Science - 08.01.2021
Light-based processors boost machine-learning processing
Light-based processors boost machine-learning processing
An international team of scientists have developed a photonic processor that uses rays of light inside silicon chips to process information much faster than conventional electronic chips. The exponential growth of data traffic in our digital age poses some real challenges on processing power. And with the advent of machine learning and AI in, for example, self-driving vehicles and speech recognition, the upward trend is set to continue.

Computer Science - Mathematics - 04.01.2021
Researchers compute turbulence with artificial intelligence
Researchers compute turbulence with artificial intelligence
For the first time, researchers at ETH Zurich have successfully automated the modelling of turbulence. Their project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint". The modelling and simulation of turbulent flows is crucial for designing cars and heart valves, predicting the weather, and even retracing the birth of a galaxy.