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 ...

These Companies Have Already Replaced Workers with AI in 2025 The fear of AI job replacement is very real, with many companies in 2025 openly admitting that the tech is eliminating jobs.

THE distance of displacement has recently emerged as one, possibly very important, parameter in pigeon homing 1–5. The accuracy of initial orientation, in particular, seems to be a functionof ...

A frequency-encoded real-time and long-distance displacement measurement method based on two cross-referencing optoelectronic oscillators (OEOs) is proposed and experimentally demonstrated.

Federated graph learning (FGL) is the integration of structured data into federated learning, assuming that each user has structured graph representation data and uses graph learning models for ...

V-8 engines are becoming scarce in 2024, but one high-displacement option still exists for performance enthusiasts.

Implementing knowledge graphs on a budget For many organizations, especially those with tight budgets, implementing knowledge graph technology might seem daunting.

Given a large graph, such as a social network or a knowledge graph, a fundamental query is how to find the distance from a source vertex to another vertex in the graph. As real graphs become very ...