Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused and practical technical answers.Det ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering ...

Researchers at New York City-based Icahn School of Medicine at Mount Sinai Health System have developed AEquity, a tool designed to detect and mitigate biases in datasets used to train ...

Overview Strong basics in math, programming, and statistics drive faster AI progressReal projects teach problem-solving better than endless tutorialsData qualit ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Input and expertise from radiologists can help develop better and more trustworthy artificial intelligence (AI) tools, new ...

SOURCES & FURTHER READING: This column was written by Santo D. Marabella with the assistance of AI Riley (ChatGPT, OpenAI, ...

The University of KwaZulu-Natal recently celebrated the achievements of 86 outstanding students by awarding them prestigious scholarships, recognising their academic excellence, community engagement, ...

By using explainable AI, the study identifies not only which skills define each cluster but also the relative importance of these skills in classification decisions. This level of interpretability ...