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<item><title>Release 1.0</title><link>https://meshapplied.com/blog/release-1</link><guid isPermaLink="true">https://meshapplied.com/blog/release-1</guid><description>Our philosophy regarding compute now, and in the future. Releasing our first 2 actually capable models.</description><pubDate>Mon, 12 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Quantum Physics Informed Neural Solvers for PDEs</title><link>https://meshapplied.com/blog/quantum-neural-solvers</link><guid isPermaLink="true">https://meshapplied.com/blog/quantum-neural-solvers</guid><description>Can tiny quantum neural networks outperform massive deep learning models? We don’t know (yet), but we collected everything you need to know about the topic, and through a set of experiments we explore the most promising application: PINNs.</description><pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Lean4 Autoformalization Engine</title><link>https://meshapplied.com/blog/lean4-autoformalization</link><guid isPermaLink="true">https://meshapplied.com/blog/lean4-autoformalization</guid><description>A memory-efficient, single-GPU training and inference architecture for formalizing natural language mathematics into Lean 4 statement code using quantized Mixture-of-Experts, persistent Lean REPL compiler feedback, and dual-tier retrieval augmentation.</description><pubDate>Sat, 15 Aug 2026 00:00:00 GMT</pubDate></item>
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