AI4Life

BioImage Model Zoo Enhancements – Hackathon

EMBL Heidelberg

Join us for a hacking experience at the AI4Life Hackathon, where computational experts will collaborate to enhance the user experience of the BioImage Model Zoo.Kickstarting the week, participants will introduce themselves and their personal goals, setting the stage for a week full of collaborative hacking sessions. The week will wrap up with presentations from each […]

AI and Biology – Symposium

EMBL Heidelberg

Artificial intelligence (AI) is transforming virtually all areas of science, and the life sciences are no exception. AI-based methods are pushing the limits of what is possible in experiment design, data analysis, and modelling. The aim of this symposium is to catalyse synergistic interactions between AI researchers in different subfields of biology by exploring shared […]

Microscopy data analysis: machine learning and the BioImage Archive (2024) – Course

Online

This virtual course will show how public bioimaging data resources, centred around the BioImage Archive, enable and enhance machine learning based image analysis. The content will explore a variety of data types including electron and light microscopy and miscellaneous or multi-modal imaging data at the cell and tissue scale. Participants will cover contemporary biological image […]

GBP225

Infrastructure for Open Calls & Challenges – Hackathon

Human Technopole Milan, Italy

AI4Life experts will work together to ensure that the infrastructure and services provided by AI4Life are in line with the needs of the projects selected at the Open Calls and Challenges.

Deep learning for microscopy image analysis – EMBO Practical Course

Milan, Italy

EMBO Practical Course on Deep learning for microscopy image analysis at Human Technopole in Milan (Italy). The goal of this course is to familiarize researchers working in the life sciences with state-of-the-art DL techniques for microscopy image analysis, including (but not exclusive to) image restoration, segmentation, translation, registration, and tracking. The course will be composed […]

Zero-code tools & BMZ Community partners – Workshop & Hackathon/Uploathon

Madrid

Join us at Universidad Carlos III de Madrid from June 10-14 for a dynamic Workshop & Hackathon/Uploathon hosted by AI4Life. This event focuses on leveraging zero-code tools for AI-driven microscopy image analysis. It's an excellent opportunity for participants to engage with experts and peers in the BMZ community, fostering collaboration and innovation in bioimaging. Be […]

Pre-symposium AI4Life Workshop & Hackathon: Trends in AI for Super-Resolution Microscopy

Instituto Gulbenkian de Ciência, Oeiras, Portugal

The pre-symposium Workshop & Hackathon will be held on August 26th-27th, 2024, at the Institute Gulbenkian de Ciência (IGC) in Oeiras, Portugal and will be co-hosted by AI4Life. The event will be focused on the latest trends in AI for super-resolution microscopy, particularly Single-Molecule Localization Microscopy. The workshop is organized by Estibaliz Gómez de Mariscal and co-led by experts in the […]

Free

AI4Life Pre-GA Hackathon “Core functionality and sustainability”

Human Technopole Milan, Italy

This AI4Life Hackathon focuses on advancing the core functionality and long-term sustainability of the BioImage Model Zoo and ecosystem. This 4-day event brings together a diverse group of scientists and developers from the project to work in teams to tackle key aspects of the AI4Life services.

AI4Life 3rd General Assembly

Human Technopole Milan, Italy

The AI4Life Annual Meeting and General Assembly brings together the AI4Life project partners at the Human Technopole in Milano on October 21st-22nd, 2024. All AI4Life partner institutions as well as all the project work packages will have the chance to present their work, and together we will evaluate our achievements of the second project year. There […]

Free

I2K Conference

Human Technopole Milan, Italy

The 2024 I2K conference, happening October 23-25 at the Human Technopole in Milan, Italy, is a key meeting point for anyone passionate about the intersection of life sciences and quantitative image analysis.