Researchers at the University of Missouri tested artificial intelligence to help detect melanoma from images of skin. They trained models on many pictures and found combined models improved accuracy, aiming to support faster care.
Photo by Joshua van der Schyff, Unsplash
Researchers studied why modern language models fail at long multiplication and compared standard fine-tuning with an Implicit Chain of Thought (ICoT) method. ICoT models learned to store intermediate results and reached perfect accuracy.
Health groups in Peru and Argentina use artificial intelligence to give sexual and reproductive health information to young and marginalised people. Projects include a Quechua chatbot and a WhatsApp platform, but experts warn of bias and access problems.
Researchers at Johns Hopkins developed an explainable AI tool that gives immediate text feedback to medical students practicing suturing. A small randomized study found faster learning for students with prior experience; beginners showed less benefit.
Researchers at the University of Zurich found that large language models change their evaluations of identical texts when given an author identity. The study tested four models and warns about hidden biases and the need for governance.
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