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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 ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
VentureBeat

Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More What do you get when you combine two of the most up-and-coming paradigms ...
dbta

Recognizing the Power of Graph Databases and Knowledge Graphs

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...
Semiconductor Engineering

ETH Zurich: PIM (Processing In Memory) Architecture, UPMEM & PrIM Benchmarks

New paper technical titled “Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture” led by researchers at ETH Zurich. Researchers provide a comprehensive ...