Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection to ...
Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...
A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. A KAIST research team has developed a new ...
Like artificial intelligence itself, the AI startup SambaNova is interesting across the stack. From software to hardware, from technology to business model, and from vision to execution. SambaNova has ...
With a $9.2 million grant from Intelligence Advanced Research Projects Activity (IARPA), Prof. Andrew A. Chien will lead a team of University of Chicago computer science researchers building the ...
The K-Computer in Japan continues to top the Graph 500 ranking of the world’s fastest supercomputers. The latest list was released today at SC16 in Salt Lake City. The Graph 500 measures performance ...
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