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 ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

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 ...

Mr. Shirky, a vice provost at New York University, has been helping faculty members and students adapt to digital tools since 2015. Back in 2023, when ChatGPT was still new, a professor friend had a ...

Bill O’Reilly returned to his media duties after a four-day hospital stay for a hereditary condition involving internal bleeding. He was surprised by the overwhelming support from his audience during ...

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 ...