🧐Have you read the last updates on the BioImage.IO Chatobot? 🤖
Got a question about deepImageJ and need a quick answer?🔍 Don't waste time—ask our Chatbot! It’s here to help and here to stay! ✨
Read more about it at: nature.com/articles/s41592-0…
🔬💻 The @EBItraining virtual course "Microscopy data analysis: machine learning and the BioImage Archive" starts today! The week comes packed with insights into #ZeroCostDL, @BioimageA, AI4Life tools, and more!
Mark your calendars! 🗓️ 🖊️
I2K (From Images to Knowledge), the conference where bioimage methods research meets research software engineering meets biology, will welcome you at @humantechnopole in Milan from Oct. 23rd to 25th!
Influence the agenda here: forms.gle/v5brzZ9RnTU4WvCr6
An incredible week at @uc3m with the deepImageJ & friends hackathon! 🌟 Filled with brilliant ideas, hard work, and fantastic people. ✨👏 Stay tuned for the outcomes coming soon... the excitement continues! 🚀👀
An incredible week at @uc3m with the deepImageJ & friends hackathon! 🌟 Filled with brilliant ideas, hard work, and fantastic people. ✨👏 Stay tuned for the outcomes coming soon... the excitement continues! 🚀👀
An incredible week at @uc3m with the deepImageJ & friends hackathon! 🌟 Filled with brilliant ideas, hard work, and fantastic people. ✨👏 Stay tuned for the outcomes coming soon... the excitement continues! 🚀👀
An incredible week at @uc3m with the deepImageJ & friends hackathon! 🌟 Filled with brilliant ideas, hard work, and fantastic people. ✨👏 Stay tuned for the outcomes coming soon... the excitement continues! 🚀👀
Thrilled to announce our latest paper, 'JDLL' is now published in @NatureMethods! A perfect start to the New Year 🥳 and a fantastic gift from the Reyes Magos! 🌟 Check it out here: rdcu.be/dvqwn Happy Reading & Happy New Year to all! 📚🎆
@Icy_BioImaging@deepImageJ
🎉Exciting news! The @Icy_BioImaging team, along with @deepImageJ, is thrilled to announce the release of the 𝗝𝗮𝘃𝗮 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 (𝗝𝗗𝗟𝗟), the new open source core library for #DeepLearning model inference in imaging! 🤖
📢🎉 Announcement! We are proud to introduce you to the BioImage.IO Chatbot 🤖! An #AI-powered assistant augmented by a community knowledge base, for navigating the world of #BioImageAnalysis
📃 Preprint: arxiv.org/abs/2310.18351
(1/9)
🔍🤖 Exciting news for the BioImage Analysis world! The BioImage.IO Chatbot is powered by a community-driven knowledge base, including documentation from deepImageJ. Explore the future of #BioImageAnalysis! 🚀👇👇👇👇👇
📢🎉 Announcement! We are proud to introduce you to the BioImage.IO Chatbot 🤖! An #AI-powered assistant augmented by a community knowledge base, for navigating the world of #BioImageAnalysis
📃 Preprint: arxiv.org/abs/2310.18351
(1/9)
⏰ Time's ticking! Registration for the Hackathon & Solvathon closes in just a few days on September 8th. Don't let this opportunity slip away!
bit.ly/AI4Life-registration-…
ALT AI4Life Hackathon & Solvathon.
Oct 10-13, 2023
Heidelberg, Germany
Register by Sep 8, 2023
https://bit.ly/AI4Life-registration-hackathon-solvathon
The new evolved deepImageJ is out now💥💥
This highly anticipated new version will fulfill a multitude of needs that the community has fervently expressed! @deepImageJ#JDLL
📢 Exciting news! We are thrilled to announce the launch of deepImageJ 3.0! 🎉 Our latest release brings, thanks to the connection with #JDLL, new features and improvements to enhance your image analysis workflows in @FijiScdeepimagej.github.io/
Finally, the new release of @deepImageJ is out!!🥳🚀👯 Do not miss all the new and enhanced features it brings👇 ❤️
We're really looking forward to the new pipelines you come up with and fresh feedback 🤓
Some of the new features👀
👥Users: Multi-step DL pipelines, BioImage Model Zoo (bioimage.io) compatibility, Faster predictions, Large image processing #ImLib2
👩🏻💻Developers: Agnostic DL engines in @FijiSc (TF 1, 2 and PyTorch) #imageprocessing
🚀Let's dive in!
Some of the new features👀
👥Users: Multi-step DL pipelines, BioImage Model Zoo (bioimage.io) compatibility, Faster predictions, Large image processing #ImLib2
👩🏻💻Developers: Agnostic DL engines in @FijiSc (TF 1, 2 and PyTorch) #imageprocessing
🚀Let's dive in!
📢 Exciting news! We are thrilled to announce the launch of deepImageJ 3.0! 🎉 Our latest release brings, thanks to the connection with #JDLL, new features and improvements to enhance your image analysis workflows in @FijiScdeepimagej.github.io/
🔍⚙️ Improved DL installation! With deepImageJ 3.0, you can now install DL engines (TF1&2, PyTorch) directly within ImageJ/Fiji. #DeepLearning#ImageAnalysis