Frontiers in Neurophotonics is an opportunity to meet fellow researchers and students from around the world, discuss and discover the latest advances in live cell optical imaging techniques put in […]
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 […]
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 […]
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 […]
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 […]
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 […]
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.
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 […]
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, […]
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 […]