Artificial Intelligence
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.
Artificial intelligence helps speed up ecological surveys
Research
EPFL
Scientists at EPFL, the Royal Netherlands Institute for Sea Research and Wageningen University & Research have developed a new deep-learning model for counting the number of seals in aerial photos that is considerably faster than doing it by hand. With this new method, valuable time and resources could be saved which can be used to further study and protect endangered species.
EPFL and ETH Zurich launch their first joint doctoral programme
Teaching
EPFL ETH Zurich
Switzerland’s two federal institutes of technology have teamed up to offer a new joint doctoral programme in the learning sciences. It aims to train experts to draw on their technological and scientific knowledge in the interests of forwarding the research, teaching and learning.
Ensuring as few plankton as possible can sneak away undetected
Research
Eawag
Eawag intends to further develop artificial intelligence methods to enable their increasing use in water research. One current application is the monitoring of plankton communities in lakes. With the help of machine learning methods, it has been possible to implement an automatic classification of the microorganisms.   
Healthy newborns thanks to artifical intelligence
TechTransfer
ETH Board
The ETH AI Center is becoming an interdisciplinary hotspot for artificial intelligence. A new generation of AI researchers will be trained there, says Professor Andreas Krause, but also AI entrepreneurs who bring research to the economy. Such application-oriented research is already being conducted there today. Professor Julia Vogt, for example, bridges the gap between data-driven computer science and applied medicine.
Digital twins give fresh insight into the world around us
Research
EPFL
Digital twins are computer-based models of an object or even a human organ, and the technology behind them is advancing at a rapid pace. EPFL will host a series of talks and seminars on this topic at its Digital Twin Days on 15 and 16 November. An ideal opportunity to learn more about the work EPFL researchers are doing in this pioneering field.
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