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New Scientific Agentic Foundation Model Intern-S2-Preview Unveiled

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced Intern-S2-Preview, a series of scientific agentic foundation models designed to advance scientific discovery. These models are capable of multimodal understanding, reasoning, and long-horizon task execution, utilizing a training pipeline that includes multimodal pre-training and reinforcement learning. The Intern-S2-Preview-397B model shows competitive performance on various benchmarks, while the Memory Decoder extension, Intern-MemDec-4B, enhances specialization in areas like biology without altering the main model. AI

IMPACT This model series could accelerate scientific discovery by enabling AI to perform complex reasoning and interact with scientific tools.

RANK_REASON The cluster describes a new scientific paper detailing a novel AI model series, Intern-S2-Preview, and its capabilities.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New Scientific Agentic Foundation Model Intern-S2-Preview Unveiled

COVERAGE [3]

  1. arXiv cs.CL TIER_1 English(EN) · Lei Bai, Jiaqi Cao, Chiyu Chen, Guanzhou Chen, Kai Chen, Guangran Cheng, Erfei Cui, Xuanlang Dai, Shengyuan Ding, Shangheng Du, Yanhui Duan, Yue Fan, Youqing Fang, Quan Gan, Yuanyuan Gao, Jiaye Ge, Lixin Gu, Yuzhe Gu, Qipeng Guo, Junjun He, Xin Hong, Min… ·

    Intern-S2-Preview: Scientific Agentic Foundation Model

    arXiv:2608.13505v1 Announce Type: cross Abstract: Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sustain progress across long task horizons. We presen…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Intern-S2-Preview: Scientific Agentic Foundation Model

    Intern-S2-Preview is a scientific agentic foundation model series that integrates multimodal pre-training, multi-task reinforcement learning, and memory-augmented extensions to support long-horizon scientific reasoning and forecasting.

  3. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Intern-S2-Preview — “Scientific Agentic Foundation Model” — is today’s paper pick. 34 upvotes on HF. The catch: it’s an agentic model, meaning it performs steps

    Intern-S2-Preview — “Scientific Agentic Foundation Model” — is today’s paper pick. 34 upvotes on HF. The catch: it’s an agentic model, meaning it performs steps of science, not just predicts the next word. https:// huggingface.co/papers/2608.135 05 # AI # MachineLearning # Resear…

    LINKS huggingface.co/…/2608.13505

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