<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>cloud computing | AICell Lab</title><link>https://aicell.io/tag/cloud-computing/</link><atom:link href="https://aicell.io/tag/cloud-computing/index.xml" rel="self" type="application/rss+xml"/><description>cloud computing</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>https://aicell.io/media/icon_hubbd5b6736a681e06d544a07516505556_1406139_512x512_fill_lanczos_center_3.png</url><title>cloud computing</title><link>https://aicell.io/tag/cloud-computing/</link></image><item><title>BioEngine - Cloud-Powered AI for Bioimage Analysis</title><link>https://aicell.io/project/bioengine/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://aicell.io/project/bioengine/</guid><description>&lt;p>The increasingly amount of data generated in life science poses challenges in managing and analysis. The conventional approach for storing and processing scientific data locally on workstations or laptops is failing to met modern needs in applications such as AI-powered image analysis. We would like to tackle the challenge by introducing the BioEngine platform, which is a computational platform consists of containerized services for scalable data management and AI model serving. It is a web platform built on top of the &lt;a href="https://github.com/amun-ai/hypha" target="_blank" rel="noopener">Hypha&lt;/a> with an emphasis on serving models for bioimage analysis.&lt;/p>
&lt;p>In this project, we aim to develop web services for providing flexible image data management solutions and also model serving in the cloud (private or public). The BioEngine is being used to support the test run feature in the &lt;a href="https://bioimage.io" target="_blank" rel="noopener">BioImage Model Zoo&lt;/a> website (also see the &lt;a href="https://aicell.io/project/ai4life">AI4Life project&lt;/a>). We aim to provide deployment toolkit for users to setup their own server, either in an institutional Kubernetes cluster or a workstation. Under the AI4Life project, we aim to provide a standard for managing and sharing image data together with the &lt;a href="https://www.ebi.ac.uk/bioimage-archive/" target="_blank" rel="noopener">BioImage Archive&lt;/a>.&lt;/p>
&lt;p>To learn more technial details about the BioEngine, please watch the following video on youtube:&lt;/p>
&lt;iframe width="560" height="315" src="https://www.youtube.com/embed/EEo_GPjbxn4" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen>&lt;/iframe>
&lt;p>And, you can find the tutorial slides &lt;a href="https://slides.imjoy.io/?slides=https://raw.githubusercontent.com/oeway/slides/master/2022/i2k-2022-bioengine-workshop.md" target="_blank" rel="noopener">here&lt;/a>.&lt;/p>
&lt;p>Here, you can also try the BioEngine in an example Jupyter notebook here:&lt;/p>
&lt;div id="jupyter-container" style="height: 450px;"> &lt;button onclick='imjoy.show_jupyter_notebook("1-bioengine-engine-tutorial.ipynb", "https://raw.githubusercontent.com/imjoy-team/imjoy-tutorials/master/2-bioengine/1-bioengine-engine-tutorial.ipynb")'>Click to try BioEngine in Jupyter Lite&lt;/button> &lt;/div></description></item></channel></rss>