AI4Life

DL@MBL: Deep Learning for Microscopy Image Analysis

Online

The goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks that facilitate independent application of the learned material after the course.

Free

Advanced methods in bioimage analysis

EMBL Heidelberg

Bioimage analysis has become a keystone of biological research: the deluge of data produced by increasingly advanced microscopes calls for experts able to guide life scientists in the methods and software to be used to produce quantitative knowledge from this data. Due to the complexity of the data, without such expert guidance, it is very […]

AI4Life General Assembly

EMBL Heidelberg

The AI4Life Annual Meeting and General Assembly will gather all AI4Life project partners at EMBL in Heidelberg on October 9th-10th, 2023. 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 first project year. There will […]

Free

AI4Life Hackathon & Solvathon

EMBL Heidelberg

Following the 2nd AI4Life General Assembly in Heidelberg, there will be two events running in parallel: Hackathon, aimed at addressing the challenges of building and deploying AI tools for bioimage analysis and making them more scalable and FAIR. The event will feature discussions on our current status and plans, as well as the opportunity to […]

Free

HT Deep Learning for Microscopy Image Analysis 2023

Milan, Italy

The goal of the course is to familiarise researchers working in life sciences with state-of-the-art deep learning techniques for microscopy image analysis, with a focus on image restoration and image segmentation. The aim is to introduce tools and frameworks that will facilitate independent application of the learned material after the course.The course will be organised […]

EUR100

AI basics for Image Processing – Workshop

Online

The ANERIS project aims to address the urgent issue of declining ocean biodiversity. This is pursued through the creation of groundbreaking tools and technology for the monitoring, research, and effective management of marine ecosystems. Euro-BioImaging and its nodes France BioImaging and Israel BioImaging are supporting the project objectives through the development of next-generation of AI tools and methods for marine life imaging.

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.