<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News on Jibin Rajan Varghese</title><link>https://codejrv.github.io/news/</link><description>Recent content in News on Jibin Rajan Varghese</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 02 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://codejrv.github.io/news/index.xml" rel="self" type="application/rss+xml"/><item><title>Cosmos 3: an omni world foundation model for Physical AI</title><link>https://codejrv.github.io/news/cosmos-3/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://codejrv.github.io/news/cosmos-3/</guid><description>As a core contributor to Cosmos, I am proud to share Cosmos 3: a single open world foundation model that reasons across modalities and generates video, audio, and actions for Physical AI.</description></item><item><title>Cosmos Predict 2.5 and Transfer 2.5</title><link>https://codejrv.github.io/news/cosmos-predict-2-5/</link><pubDate>Wed, 08 Oct 2025 00:00:00 +0000</pubDate><guid>https://codejrv.github.io/news/cosmos-predict-2-5/</guid><description>Cosmos Predict 2.5 and Transfer 2.5 mark another milestone in Physical AI: unified world prediction and high-fidelity multicontrol simulation for AV, robotics, and video analytics.</description></item><item><title>AEGIS2.0: a diverse AI safety dataset and risks taxonomy</title><link>https://codejrv.github.io/news/aegis-2/</link><pubDate>Wed, 15 Jan 2025 00:00:00 +0000</pubDate><guid>https://codejrv.github.io/news/aegis-2/</guid><description>AEGIS2.0 is a commercially usable AI safety dataset and risks taxonomy for aligning LLM guardrails, co-authored with colleagues at NVIDIA and published at NAACL 2025.</description></item><item><title>NVIDIA Cosmos: a world foundation model platform for Physical AI</title><link>https://codejrv.github.io/news/cosmos-1/</link><pubDate>Tue, 07 Jan 2025 00:00:00 +0000</pubDate><guid>https://codejrv.github.io/news/cosmos-1/</guid><description>Proud to have been part of the core team that shipped NVIDIA Cosmos: an open-source World Foundation Model platform for Physical AI, with diffusion and autoregressive models plus Cosmos Guardrail.</description></item></channel></rss>