Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Hallucination is one of the most researched topics in AI. Recent studies show we’ve got it all wrong, writes Satyen K.

F or those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have ...

Recent ship accidents off Kerala's coast, including fires and sinking, spark major maritime safety, environmental, and trade ...

The AI landscape is transforming at an unprecedented pace, unveiling new advances daily. However, enterprise-level AI innovation remains challenged by its complexity, as organizations must navigate ...

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect ...

IEDI's AI-driven, defensive approach to consumer discretionary ETFs delivers superior risk-adjusted performance despite ...

Abstract: Graph convolutional network (GCN) has garnered significant attention in hyperspectral image (HSI) classification due to their ability to model non-Euclidean structured data. Compared with ...

Hence we proposes a semi-supervised retinal image classification method by a Hybrid Graph Convolutional Network (HGCN). This HGCN network designs a modularity-based graph learning module and ...