Insights from SSA Cyclone Ditwah Survey When climate disasters strike, they don’t affect everyone equally. Marginalised communities typically face worse outcomes, and Cyclone Ditwah is no exception.
TART is a package for training and deploying task-agnostic reasoning modules which can be composed with arbitrary foundation models to improve in-context learning peformance for classification tasks.
Abstract: Annually, in Mexico, the National Institute of Statistics and Geography publishes a dataset called Module on Cyberbullying (MOCIBA). The article presents the evaluation of the quality of ...
Abstract: To help address the important challenge of photovoltaic module end-of-life (EoL) management, an automated module quality assessment methodology to determine the preferred EoL paths of ...
SeDoMoCha Elementary and Middle School hosted a special schoolwide assembly on Jan. 30 to recognize students in kindergarten through grade 8 who demonstrate responsibility as this month’s Student in ...
Experimental code for "Brain-machine interface control with artificial intelligence copilots" Traditional brain-machine interface (BMI) systems decode movement solely from neural data, without taking ...
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