Arango's multi-model, graph-powered platform provides a unified contextual data layer that supports reasoning, transparency, and scale across AI-driven financial systems, preserving shared business ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.

Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive Therapy (ECT)—a gold-standard treatment for severe cases—varies significantly ...

This project demonstrates how to build a complete agentic knowledge graph system using Kuzu, a powerful lightweight, embeddable graph database that can be integrated directly inside AI systems without ...

Abstract: Graph Convolutional Networks (GCNs) demonstrate significant potential in recommendation systems but face difficulties with the cold-start problem, especially in integrating new nodes during ...

Customers have requested streaming support for multi-agent systems (Swarm and Graph), which currently buffer all responses until the entire execution completes before emitting any events. They want ...

A line of Nippon Pulse’s linear shaft motors that features analog Hall effect sensors to enable closed-loop positioning without a linear encoder. Linear motors can be described as uncurled 3-phase ...

In the past, cams and pneumatic cylinders were the mainstays of motion control. While effective, these technologies were not very flexible. Today, engineers have myriad options that are fast, flexible ...

Abstract: This technical note introduces a novel design approach to address the leader-following consensus problem in linear multi-agent systems (MASs) through distributed impulsive control. First, ...

Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing with up-to-date facts, domain-specific information, or ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...