As the use of generative AI becomes increasingly common, we must beware of an algorithmic colonization of language and ...

Deal keeps app available for more than 200 million U.S. users under new safeguards around data, algorithms and content ...

Can a system designed in Brussels and enforced from space truly understand the subtle, seasonal rhythms of rural life? Or ...

Abstract: In this paper, the data set of food and nutrition intake from the Food and Agriculture Organization of the United Nations (FAO) and COVID-19 case counts from the World Health Organization ...

Artificial intelligence isn’t just a buzzword anymore; it’s a driving force behind so much of what we do. But all that smart processing, all those complex calculations, they don’t just happen in thin ...

Explores foundational computer science concepts essential for graduate level coursework. Examines discrete mathematics principles, including probabilities and combinations, along with proof techniques ...

State Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, China ...

In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain’s wiring supports the way we think and act. The study, published June ...

In the world of data management, enterprises are increasingly focusing on technology, particularly Gen AI, to solve business problems. However, there's a growing disconnect between the single-purpose ...

Abstract: Drug-Gene Interaction (DGI) is crucial for drug discovery and personalized medicine. The continuous development of genomics and drug repositioning has brought increasing attention to the ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...