Artificial Intelligence
Chemical data management: an open way forward
Research
EPFL
Writing in Nature Chemistry, three EPFL scientists propose an open platform for managing the vast amounts of diverse data produced in chemical research. Based on principles of accessibility, collaboration and efficiency, the proposed platform could be spearheaded by EPFL.
Deep learning: a framework for image analysis in life sciences
Research
EPFL
Deep learning models are becoming increasingly common in bioimage analysis. Yet a lack of standardization and the use of these algorithms by non-experts are potential sources of bias. Scientists from EPFL and the European Bioinformatics Institute (EMBL-EBI) offer practical tips and guidance in a paper recently published in the journal IEEE.
Girl Power: Can we Break the Bias in Al and Beyond?
Research
EPFL
We all know the story. It gets rolled out every March when women and men around the world celebrate International Women’s Day. Human biases are well documented, from the implicit to the explicit and they have always existed but as algorithms and big data increasingly run our lives these biases become embedded in everything.
EPFL and DeepMind use AI to control plasmas for nuclear fusion
Research
EPFL
Scientists at EPFL’s Swiss Plasma Center and DeepMind have jointly developed a new method for controlling plasma configurations for use in nuclear fusion research.
Artificial intelligence and big data can help preserve wildlife
Research
EPFL
A team of experts in artificial intelligence and animal ecology have put forth a new, cross-disciplinary approach intended to enhance research on wildlife species and make more effective use of the vast amount of data now being collected thanks to new technologies. Their study recently appeared in Nature Communications.
New implant offers promise for the paralyzed
Research
EPFL
A system developed by Grégoire Courtine and Jocelyne Bloch now enables patients with a complete spinal cord injury to stand, walk and even perform recreational activities like swimming, cycling and canoeing. 
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