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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
The University of Chicago Chronicle

$9.2M grant to UChicago computer scientists will improve graph analytics

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 ...
Science Daily

T-GPS processes a graph with trillion edges on a single computer?

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 ...
Nature

Graph Matching and Computer Vision Techniques

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 ...
Popular Mechanics

If We Draw Graphs Like This, We Can Change Computers Forever

Jacob Holm was flipping through proofs from an October 2019 research paper he and colleague Eva Rotenberg—an associate professor in the department of applied mathematics and computer science at the ...
EDN

Efficient Computer unveils ultra-energy-efficient processor

Chip startup Efficient Computer Corp. exited stealth mode in 2024 with a $16 million seed funding round with the announcement of its first computer processor, the E0 system-on-chip (SoC) for ...