Artificial Intelligence
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.
Innovative application helps students learn to write
Teaching
EPFL
EPFL startup School Rebound has developed a revolutionary application that uses artificial intelligence to help students improve their handwriting in a fun and personalized way. Nearly 15,000 students in Switzerland, France, and Italy are already putting it to work.
Less animal testing thanks to machine learning
Research
Eawag
Eawag researchers are using computer algorithms to predict the toxicity of chemicals to fish. Machine learning can help set priorities for experiments and, in the longer term, enable a tremendous reduction of animal testing.
New partnership with Bulgaria for artificial intelligence
Research
ETH Zurich EPFL
Today, the Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT) has been launched in Sofia. INSAIT is a new Bulgarian Institute established in partnership with ETH Zurich and EPF Lausanne.
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.
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