Machine Learning
Tracing a digital shadow
Research
ETH Zurich
Psychologist Verena Zimmermann joins computer scientists Joachim Buhmann and Elgar Fleisch to discuss whether our feelings can be measured, what role they play in human-machine interactions, and the use of smart technologies.
Researching, learning and adapting
Research
ETH Zurich
One of the greatest unknowns in climate change is the question of how particulate matter affects clouds. Yu Wang is using machine learning and satellite data to investigate the surprising role of these tiny particles in the atmosphere.
A neuro-chip to manage brain disorders
Research
EPFL
EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.
Using machine learning to forecast amine emissions
Research
EPFL
Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to accurately predict potentially harmful amine emissions from carbon-capturing plants.
Artificial intelligence deployed to enhance sports performance
TechTransfer
EPFL
EPFL researchers have teamed up with Dartfish and the Lausanne Hockey Club to push the boundaries of sports-performance analysis by applying computer vision and machine-learning technology to action on the ice.
More Precise Treatment
Research
ETH Zurich
The LOOP Zurich research center combines expertise from ETH Zurich, the University of Zurich and the four university hospitals in Zurich with the aim of developing more personalized therapies. Two new projects supported by The LOOP Zurich target urinary tract infections and obesity respectively.
Page 8 of 16