A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Abstract: This study proposes a hybrid recommendation algorithm combining collaborative filtering and deep learning to improve the accuracy and efficiency of the recommendation system. First, the user ...
aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...
Launched last year, social media platform UpScrolled has already amassed millions of global downloads. Today, the app sits at the top of several app store rankings in multiple countries, including the ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts that have puzzled scholars for centuries, detected cancers missed by human ...
Abstract: Today, the effective use of this data for accurate market demand forecasting is the key to business decision-making. This paper proposes a market demand forecasting model combining a variety ...