February 4 — The Shanghai AI Laboratory introduced the open-source launch of Intern-S1-Professional, a scientific multimodal basis mannequin it describes as the most important of its type within the world open-source neighborhood.
Constructed on the lab’s SAGE “general-specialized fusion” structure, Intern-S1-Professional makes use of a Combination-of-Specialists (MoE) design with one trillion whole parameters, activating solely eight specialists—round 22 billion parameters—per inference. The lab claims the mannequin delivers main advances throughout core scientific capabilities: it ranks on the prime tier globally in AI-for-Science benchmarks, demonstrates Olympiad-gold-medal-level mathematical reasoning, and locations among the many main open-source fashions for agent-based workflows in actual scientific analysis.
The mannequin additionally introduces two foundational architectural breakthroughs. First, it incorporates Fourier positional encoding and a redesigned temporal encoder to unify the understanding of alerts from microscopic to macroscopic scales. Second, it employs an environment friendly routing mechanism that overcomes stability and compute-efficiency bottlenecks in coaching trillion-parameter MoE fashions.
In keeping with the Shanghai AI Lab, Intern-S1-Professional validates a completely autonomous expertise stack—from authentic mannequin structure to domestically developed computing infrastructure.
Supply: IT house
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