AI-driven chart review accurately identifies potential rare disease trial participants

New research by Cleveland Clinic and Dyania Health demonstrates how a medically trained large language model system can accurately and efficiently screen electronic medical records (EMRs) to identify ...
SDxCentral

Google Cloud embeds AI to form fully programmable telecom networks

“Over the last year, we’ve evolved our Cloud Spanner Graph and Vertex AI to handle the ‘dual nature’ of telcos: the need for high-speed, real-time response for alarm correlation, combined with deep, ...
EurekAlert!

Largest high-precision 3D facial database built in China, enabling more lifelike digital humans

In a study published in IEEE Transactions on Circuits and Systems for Video Technology, a research team led by Prof. SONG Zhan from the Shenzhen Institute of Advanced Technology of the Chinese Academy ...

Optimal Dynamics Launches Scale, the First Decision-Native Agentic System(TM) Built to Proactively Secure the Right Freight

Scale continuously determines where freight is needed to balance carrier networks and deploys intelligent autonomous ...

Google’s newest AI agents bring telcos a step closer to autonomous network operations

Google LLC is getting closer to fulfilling its vision of enabling truly autonomous network operations with the launch of its ...
CryptoNewsZ

Cardano Price Under Pressure as ADA TVL Falls to Multi-Month Lows

The Cardano price eyes recovery above $0.3 as buyers offer a decisive breakout from the resistance trendline of wedge pattern.
Scientific Research Publishing

Graph Neural Networks for Spatio-Temporal Forecasting of Foot-and-Mouth Disease Risk Using Livestock Movement Traceability Data ()

1 Department of Computer Science, Mountains of the Moon University, Fortportal, Uganda. 2 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 3 Department of ...
IEEE

Multiscale Dynamic Graph Network for Forecasting of Wind Speeds in Offshore Regions

Abstract: Accurate prediction of wind speed in offshore areas is critical to maintaining the reliability and stability of offshore wind power. However, existing graph neural network (GNN) methods ...
EurekAlert!

A survey of dynamic graph neural networks

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, ...