A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by researchers at Politecnico di Milano. “Executing Spiking Neural Networks (SNNs) on ...
The country’s top internet regulator, the Cyberspace Administration of China (CAC), requires that any company launching an AI tool with “public opinion properties or social mobilization capabilities" ...
Community detection is a common graph workload used in various domains. With the rapid increase in volumes of data, a lot of research has been done on accelerating different community detection ...
Abstract: Graph matching is a widely studied and applied field, with Graph Edit Distance (GED) serving as a fundamental metric for evaluating the similarity between graphs. As an NP-hard problem in ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
Graph-Tech USA (GTUS) is introducing the RFID-Runner, a next-generation UHF encode-and-print system designed to improve speed, efficiency, and cost-effectiveness in RFID label production. Traditional ...
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 ...
A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results