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Collaborative Coding, Better Scaling, Health Tracking: HAI Awards $2.17M to Innovative Research | Stanford HAI
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technology21h ago

Collaborative Coding, Better Scaling, Health Tracking: HAI Awards $2.17M to Innovative Research | Stanford HAI

  • HAI awarded $2.17 million in seed grants to 29 teams for the 2025 cohort, funding diverse AI projects.
  • Holzbrinck Global Media backs two winners, with three projects co-funded by Stanford Center for Digital Health.
  • Scaling laws for social sciences explore if LLM dynamics apply to sociology contexts for better tool use.
  • Pediatric pneumonia early warning system in Ethiopia aims to predict outbreaks using multi-source data.
  • Collaborative code generation aims to transform AI into a scientist-in-the-loop for PDE solvers.
  • Seed grants have funded about $16 million since the program began, underscoring Stanford HAI's broad impact.
  • Projects span disciplines from science and health to religion, social sciences, and education.
  • Three featured projects include social science scaling laws, pediatric pneumonia early warning, and PDE solver collaboration.
  • HAI emphasizes human-centered AI to drive practical impact and accessibility in high-performance computing.
  • The awards celebrate the eighth year of the seed grant program, signaling established support for AI research.
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