Nvidia and major telcos are launching distributed "AI grids" to run inference at the network edge, reducing latency and costs for real-time AI applications.

Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation ...

Voxelmaps and NVIDIA partner to give city teams real-time 3D visibility into streets, infrastructure, and urban change ...

Tenable Research revealed "LeakyLooker," a set of nine novel cross-tenant vulnerabilities in Google Looker Studio. These flaws could have let attackers exfiltrate or modify data across Google services ...

High-Performance Graph Analytics Platform Now Available to Universities via Trusted eProcurement Channel NEW YORK, NY, ...

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...

Broader graphical coverage and flexibility improve readability and user control across complex system models SysML v2 ...

Spending on data center switches deployed in AI back-end networks is forecast to surpass $100 billion by 2030 as demand for high-performance infrastructure amid the AI boom looks set to continue. A ...

National Grid has introduced Triton, a new digital twin and data visualization tool designed to support electricity network planning. The tool was developed in collaboration with Atos and is intended ...

Connecting the dots: When Google's Threat Analysis Group uncovered unusual network activity rippling across millions of internet-connected devices, something didn't add up. The traffic patterns didn't ...

More than 75 health systems sent a letter to federal officials calling for stronger oversight of nationwide data sharing networks, flagging issues with "bad actors" gaining access to patients' medical ...

Abstract: Gene-gene association studies are essential for genomic analysis in network medicine. Multi-omics datasets of multiple disease phenotypes are used to construct a disease-gene network or ...