Scientists have discovered over 6,000 planets that orbit stars other than our sun, known as exoplanets. More than half of ...
Graph neural networks (GNNs) have achieved significant success in a variety of graph-related tasks, such as node classification, link prediction, and graph classification. However, GNNs generally lack ...
Abstract: Urban traffic congestion poses a persistent challenge in rapidly developing cities. This paper proposes a heterogeneous machine learning ensemble integrating Random Forest (RF), Decision ...
Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Department of Medical Big Data, College of Artificial Intelligence Convergence, Inje University, Gimhae, South Korea This study provided baseline data for preventing depression in female older adults ...
Anthropic announced Tuesday it will offer its artificial intelligence (AI) model Claude to all three branches of the federal government for $1, following a similar move by OpenAI last week. Federal ...
Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...
In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
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