Machine Learning
Faster and smarter
Research
PSI
When large research facilities such as the X-ray free-electron laser SwissFEL and the Swiss Light Source SLS are operating at full speed, they produce enormous amounts of data. To interpret the data and use it, for example, to develop new drugs or materials, PSI is now concentrating its expertise in a new research division: Scientific Computing, Theory, and Data.
Simple questions, difficult answers
Research
ETH Zurich
Oliver Janzer is a mathematician who specialises in graphs – that is, collections of nodes that may or may not be connected, such as Facebook users. As part of his ETH Fellowship, the young researcher has been busy solving problems that had stumped mathematicians for decades.
Using the matrix to help Meta gear up
Research
EPFL
Just 12-months after it was created, in December 2004, 1-million people were active on Facebook. As of December 2021 it had an average 1.93 billion daily active users. EPFL is in a unique collaboration with its parent company Meta around distributed deep learning research.
Neural network can read tree heights from satellite images
Research
ETH Zurich
Using an artificial neural network, researchers at ETH Zurich have created the first high-resolution global vegetation height map for 2020 from satellite images. This map could provide key information for fighting climate change and species extinction, as well as for sustainable regional development planning.  
Better control of development aid through AI
Research
ETH Zurich
A research team from ETH Zurich and LMU Munich is using artificial intelligence to analyse 3.2 million development aid projects worldwide. Their research reveals trends and funding gaps.  
Using statistical methods to predict the course of disease
Research
ETH Zurich
Data contains much more than just the information on the surface. With statistics, deeper cause-and-effect relationships can be brought to light. This is what Alexander Marx is researching as a Fellow at the ETH AI Center using artificial intelligence. One of his goals is to be able to make predictions regarding diabetes in children.  
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