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ENTITY AI for Science Strategy

AI for Science Strategy

PulseAugur coverage of AI for Science Strategy — every cluster mentioning AI for Science Strategy across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 9 TOTAL
  1. TOOL · CL_26393 ·

    MatSource Chairman Li Hao Featured in Science for AI in Materials

    Professor Li Hao, chairman of MatSource, was featured in a Science magazine report highlighting his work in AI for Science. The report details three key projects from Li's team that integrate AI with material science, f…

  2. TOOL · CL_25641 ·

    New method uses physical simulators for causal discovery with latent confounders

    Researchers have introduced CFM-SD, a novel method for causal discovery that effectively handles latent confounders and real-world intervention data. This approach leverages first-principles physical simulators as do-op…

  3. TOOL · CL_22093 ·

    Sensoformer AI model improves sim-to-real inference for sensor data

    Researchers have developed Sensoformer, a novel set-attention framework designed to improve inference from sparse and variable sensor data. By integrating Physics-Structured Domain Randomization (PSDR), the model learns…

  4. RESEARCH · CL_20814 ·

    Alibaba Cloud leads China's AI for Science cloud market for research institutions

    Alibaba Cloud has emerged as the leader in China's AI for Science (AI4S) cloud market for research institutions, capturing a 26% market share. The AI4S market is experiencing rapid growth, with projections indicating it…

  5. TOOL · CL_18381 ·

    Anthropic adds financial features to Claude; Google upgrades Gemini for Home

    Anthropic has introduced new features for Claude tailored to financial institutions, enabling tasks like market research and monthly financial reporting. Separately, Google's Gemini for Home has been upgraded to Gemini …

  6. RESEARCH · CL_11383 ·

    New SPUR benchmark reveals AI models struggle with scientific image interpretation

    Researchers have introduced the SPUR benchmark, designed to evaluate multimodal large language models (MLLMs) on their ability to interpret scientific experimental images. SPUR includes over 4,000 question-answering pai…

  7. SIGNIFICANT · CL_07375 ·

    China integrates largest AI for Science cluster into national computing network

    China's largest AI for Science (AI4S) computing cluster, the Zhongke Shuguang Chaozhi Ronghe, has been integrated into the national unified computing network. This move aims to enhance integrated scheduling and operatio…

  8. SIGNIFICANT · CL_07195 ·

    China's AI for Science computing cluster joins national network

    China's National Integrated Computing Network has integrated the Zhongke Shuguang Super Intelligence Fusion Computing Cluster, the largest scientific intelligence (AI for Science) computing cluster in China. This integr…

  9. SIGNIFICANT · CL_07196 ·

    China integrates largest AI for Science computing cluster into national network

    China's largest AI for Science computing cluster, the Zhongke Shuguang Super-Intelligent Fusion Computing Cluster, has been integrated into the National Integrated Computing Network. This marks the first time such a lar…