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English(EN) How Shenzhen can win the ‘AI for science’ race

深圳力求通过利用独特的创新经济引领科学智能竞赛

利用人工智能进行科学发现的全球竞赛日益激烈,焦点正从模型规模转向加速整个研究周期。美国与日本合作的 Genesis Mission 通过将国家实验室整合到一个统一的发现平台中,体现了这一趋势。中国也在大力投资,北京和上海已制定了雄心勃勃的计划,用于人工智能驱动的科学基础设施和应用。深圳有机会通过利用其强大的研发强度以及研究、工程和商业部署的紧密结合,在该领域取得领先地位,而不是仅仅复制现有策略。 AI

影响 深圳将研发与商业部署相结合的战略重点,可能会加速人工智能在科学发现中的实际应用。

排序理由 关于人工智能在科学研究中战略定位的观点文章。

在 SCMP — Tech 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

深圳力求通过利用独特的创新经济引领科学智能竞赛

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关于人工智能在科学研究中战略定位的观点文章。
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报道来源 [1]

  1. SCMP — Tech TIER_1 English(EN) · Shaoshan Liu ·

    深圳如何赢得“科学人工智能”竞赛

    The next big competition in artificial intelligence is over science. The question is shifting from who has the largest model to who can use AI to shorten the discovery cycle: forming a hypothesis, running simulations, designing an experiment, operating equipment, collecting resul…