Epidemic modeling of infectious diseases equips governments and public health officials with the ability to predict outbreaks and minimize associated risks through timely intervention. Recently, the ...

In recent years, intelligent transportation have become increasingly complex due to rapid urbanization and population growth. There is a growing need for abnormal event detection in transportation ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness, ...

Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...

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 ...

According to Amazon’s overview, RNG has been the default routing architecture for most new AWS data centers since April, spurred by the architecture’s ability to deliver 33% better throughput from 69% ...

Amazon has unveiled a new data center networking architecture that it claims delivers up to 33% higher throughput while reducing network power consumption by 40%, marking what the company describes as ...