21 November 2018
Emergency admissions are a major source of healthcare spending. This research paper aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. It found that that standard machine learning models not only outperformed the best statistical model but they did so with a substantially better performance and calibration.
The Dublin Declaration fails to recognize the need to reduce industrial animal agriculture
Open Problems in Technical AI Governance
Integrating Physical Climate Risks and Adaptation into Sovereign Credit Ratings
The Future of International Scientific Assessments of AI’s Risks
Opportunities to produce food from substantially less land
Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4
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