English(EN) MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery

新的MMAI Gym训练用于药物发现的液体基础模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了MMAI Gym for Science，这是一个专为药物发现任务训练基础模型的新平台。该gym提供了精选的分子数据、特定任务的推理和基准测试工具。利用该gym，他们训练了一个高效的液体基础模型（LFM），该模型在分子优化和ADMET属性预测等各种分子基准测试中，与更大、通用的模型相比，表现出更高的性能和效率。 AI

影响这项研究通过提供更高效、更有效的AI模型来进行分子分析和预测，有望加速药物发现。

排序理由该集群包含一篇详细介绍科学应用新方法和模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Maksim Kuznetsov, Zulfat Miftahutdinov, Rim Shayakhmetov, Mikolaj Mizera, Roman Schutski, Bogdan Zagribelnyy, Ivan Ilin, Nikita Bondarev, Thomas MacDougall, Mathieu Reymond, Mihir Bafna, Kaeli Kaymak-Loveless, Eugene Babin, Maxim Malkov, Mathias Lechner,… · 2026-09-02 04:00

MMAI Gym for Science：为药物发现训练液体基础模型

arXiv:2603.03517v2 Announce Type: replace-cross Abstract: General-purpose large language models (LLMs) that rely on in-context learning do not reliably deliver the scientific understanding and performance required for drug discovery tasks. Simply increasing model size or introduc…

本文如何被排名

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MMAI Gym for Science：为药物发现训练液体基础模型

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