Computer Science
Predicting complex dynamics from data
Research
ETH Zurich
Researchers at ETH Zurich have developed a new algorithm that allows them to model the dynamics of physical systems from observations. In the future it could be applied to the onset of turbulence and tipping points in climate.
New method cracks simulation of foam formation
Research
ETH Zurich
Whether on top of a cappuccino or in the wake of waterfalls, foam is omnipresent. Until now, simulating foams realistically with a supercomputer has been almost impossible, but a method further developed by the research group of ETH and Harvard professor Petros Koumoutsakos has overcome the hurdles.
One step closer to lifelike avatars
Research
ETH Zurich
Soon, internet users will be able to meet each other in cyberspace as animated 3D avatars. Researchers at ETH Zurich have developed new algorithms for creating virtual humans much more easily.
Software to speed up training of neural networks
Research
ETH Zurich
When working with neural networks, their training is the single most resource-demanding and costly process. Scientists at the ETH Zurich have now developed a software that considerably speeds up training. This will be especially relevant for scientific applications of future users of “Alps” at CSCS.
Mind-controlled robots now one step closer
Research
EPFL
Two EPFL research groups teamed up to develop a machine-learning program that can be connected to a human brain and used to command a robot. The program adjusts the robot’s movements based on electrical signals from the brain. The hope is that with this invention, tetraplegic patients will be able to carry out more day-to-day activities on their own.
Improving quality through artificial intelligence
Research
ETH Zurich
ETH researchers are using artificial intelligence to improve quality management in digital production processes. The team has succeeded in halving the proportion of defective products in an experiment with the semiconductor manufacturer Hitachi Energy.
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