Long-term trends in pediatric self-injury in high-income countries
Peer-Reviewed Publication
Updates every hour. Last Updated: 24-Apr-2026 07:16 ET (24-Apr-2026 11:16 GMT/UTC)
A new AI-driven system generates plans for long-term, complex tasks about twice as well as some existing methods. The technique, developed at MIT, uses two vision-language models that work together to simulate actions and produce files for formal planning software.
Researchers develop an axiomatic framework to clarify which risk-sharing rules follow from commonly desired principles in risk pools, such as anonymity of participant and incident information, non-punitive processes, and fairness. They characterize simple rules—including uniform, mean-proportional, and covariance-based linear rules—by formal properties like reshuffling, source-anonymous contributions, and aggregate contributions. The framework also defines broad rule classes and introduces scenario-based rules for settings where probabilistic modeling is impractical.