<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GEMS on SoloSoft</title><link>https://www.solosoft.dev/tags/gems/</link><description>Recent content in GEMS on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/gems/index.xml" rel="self" type="application/rss+xml"/><item><title>GEMS: General Multimodal Sensing Framework</title><link>https://www.solosoft.dev/post/gems-multimodal-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/gems-multimodal-2026/</guid><description>&lt;p&gt;The real world does not present information in a single modality. We experience it through vision, language, audio, and physical sensation simultaneously, and AI systems that operate in the real world need the same multimodal understanding. &lt;strong&gt;GEMS&lt;/strong&gt; (lcqysl/GEMS on GitHub) &amp;ndash; the General Multimodal Sensing framework &amp;ndash; provides a unified infrastructure for building AI applications that integrate vision, language, audio, and structured data into coherent understanding systems.&lt;/p&gt;
&lt;p&gt;Developed by the lcqysl research team, GEMS addresses one of the most challenging problems in modern AI: how to combine information from different sensory channels into a single, unified representation that can be used for reasoning, decision-making, and interaction. The framework handles modality-specific processing, cross-modal alignment, and multimodal fusion in a modular architecture that supports both research experimentation and production deployment.&lt;/p&gt;</description></item></channel></rss>