AI is transforming financial services. Regulatory requirements, compliance demands and concerns over data consistency are ...

Russia and Iran use bots to manipulate social media, inflating divisive content creators and targeting the MAGA movement ...

In this work, we propose a spectral-based graph convolutional network for directed graphs. The proposed model employs the classic singular value decomposition (SVD) to perform signal decomposition ...

Thus began a journey to breathe a second life into this dying software. Airflow was the brainchild of Airbnb. The company ...

Abstract: The best-first search algorithm A* allows search graphs that are trees, directed acyclic graphs or directed graphs with cycles. In real life applications of A* the search graph is generally ...

Graph algorithms constitute a fundamental area of computational research that focuses on the analysis and manipulation of graph structures, which represent systems of interconnected entities. In ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

Using reinforcement learning, agentic AI can predict potential failures, such as hardware degradation or network congestion, ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.