<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>distributed computing | AICell Lab</title><link>https://aicell.io/tag/distributed-computing/</link><atom:link href="https://aicell.io/tag/distributed-computing/index.xml" rel="self" type="application/rss+xml"/><description>distributed computing</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>https://aicell.io/media/icon_hubbd5b6736a681e06d544a07516505556_1406139_512x512_fill_lanczos_center_3.png</url><title>distributed computing</title><link>https://aicell.io/tag/distributed-computing/</link></image><item><title>Hypha — Distributed Computing for AI-Powered Science</title><link>https://aicell.io/project/hypha/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://aicell.io/project/hypha/</guid><description>&lt;p>Modern science is increasingly built from many moving parts — AI models, large datasets, compute clusters, and laboratory instruments — that rarely live in the same place. &lt;strong>Hypha&lt;/strong> is our open-source framework for connecting them. It lets researchers and AI agents call remote functions, services, and models as if they were local, organising everything into unified &lt;em>virtual workspaces&lt;/em>.&lt;/p>
&lt;p>Hypha is the backbone of much of what the lab builds: it powers cloud model serving in &lt;a href="https://aicell.io/project/bioengine">BioEngine&lt;/a>, instant model testing in the &lt;a href="https://bioimage.io" target="_blank" rel="noopener">BioImage Model Zoo&lt;/a>, autonomous microscopy in &lt;a href="https://aicell.io/project/agent-lens">Agent-Lens&lt;/a>, and agent-ready biological data. Its companion libraries — &lt;code>hypha-rpc&lt;/code>, &lt;code>hypha-core&lt;/code>, and &lt;code>hypha-compute&lt;/code> — make it easy to expose any Python or browser service to the network and to AI agents over standards like the Model Context Protocol.&lt;/p>
&lt;p>Learn more in the &lt;a href="https://docs.amun.ai" target="_blank" rel="noopener">documentation&lt;/a> or try the public server at &lt;a href="https://hypha.aicell.io" target="_blank" rel="noopener">hypha.aicell.io&lt;/a>.&lt;/p></description></item><item><title>BioEngine: scalable execution and adaptation of bioimage AI through agent-readable services</title><link>https://aicell.io/publication/mechtel-2026-bioengine/</link><pubDate>Wed, 22 Apr 2026 00:00:00 +0000</pubDate><guid>https://aicell.io/publication/mechtel-2026-bioengine/</guid><description/></item></channel></rss>