Announcements, Science Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.
2022
announcementsscience
Technology and innovation Over 40 million protein annotations have been added to the UniProt database using a Google Research natural language processing model.
2022
technology-and-innovation
Perspectives, Science Ewan Birney, Deputy Director General of EMBL and Director of EMBL-EBI, reveals the key factors that enabled AlphaFold to change the world of biology.
2022
perspectivesscience
Perspectives, Science Virginie Uhlmann shares her tips for using deep learning for bioimage analysis in the life sciences.
2022
perspectivesscience
Perspectives, Science Deep learning models can improve protein annotations and has helped expand the Pfam database.
2022
perspectivesscience
Science DeepMind visits EMBL Heidelberg to discuss current and future implications of Artificial Intelligence for life science research.
2022
science
Announcements, Lab Matters EMBL announces details about its next programme, ‘Molecules to Ecosystems’. It will guide studying life across scales and in context with changing environments.
2022
announcementslab-matters
Science The systematic application of AI in life sciences as in the AlphaFold algorithm for predicting protein structures has been named '2021 Breakthrough of the Year' by Science magazine.
2021
science
Science Partners use AlphaFold, the AI system recognised last year as a solution to the protein structure prediction problem, to release more than 350,000 protein structure predictions including the entire human proteome to the scientific community.
2021
science
Science Thousands of new protein structure models, prected using deep learning, now available to explore
2021
science
Science How artificial intelligence can help us solve the mysteries of the protein universe
2020
science
Lab Matters Why should researchers make artificial intelligence more transparent and how can they do it?
2020
lab-matters
Science Members of an EMBL-led research group with collaborators in Estonia and Russia have built and trained a deep learning model to better understand how cells grow and divide.
2020
science
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