Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...
As artificial intelligence adoption accelerates, so do concerns around effective data governance — and nowhere is that truer ...
Google co-founder Sergey Brin's return to hands-on AI development, coding and analyzing training loss curves, has coincided ...
Social determinants of health and disease complexity were both key factors influencing gaps in care for congenital heart ...
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