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deep learning

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22 November 2023 Oliver Stegle passionately drawing work-related content with a green pen on a whiteboard. On the whiteboard, there are coordinates and equations, such as “n=2”.

How AI shapes the life sciences: an interview with Oliver Stegle

Lab MattersPeople & Perspectives EMBL scientist Oliver Stegle explains how AI-based tools have the potential to transform our ability to better understand the complexity of life and how these tools will shape the future of life science exploration.

2023

lab-matterspeople-perspectives

2 November 2022 Fluorescent microscopy image of skeletal muscle with biological data imagery

AI4LIFE: AI models for bioimaging

Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.

2022

announcementsscience

5 May 2022 Microscopy image showing mouse cells in blue on a dark background. The mouse cells look like little blue blobs.

Interpreting bioimages with deep learning

Science & Technology Virginie Uhlmann shares her tips for using deep learning for bioimage analysis in the life sciences.

2022

perspectivessciencescience-technology

19 January 2022 "From Molecules to Ecosystems" are words on top of a collage of images that span from molecules to ecosystems

A new era for European molecular biology

EMBL AnnouncementsLab 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

announcementsembl-announcementslab-matters

4 December 2020 Haemoglobin protein structure shown over a matrix symbolising artificial intelligence

Solving the protein structure puzzle

Science & Technology How artificial intelligence can help us solve the mysteries of the protein universe

2020

sciencescience-technology

23 October 2020 Futuristic image of deep learning schema superimposed on computer code

Bringing AI out of the black box

Lab MattersScience & Technology Why should researchers make artificial intelligence more transparent and how can they do it?

2020

lab-mattersscience-technology

6 October 2020 A series of images demonstrates the cell cycle trajectory, the first frame in each row shows a cell’s nucleus in grey. As it moves through its life cycle and enters new phases, markers change colour from red to green to pinpoint progression.

Deep learning captures cell cycle

Science & Technology 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

sciencescience-technology

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