Google's Opal just quietly showed enterprise teams the new blueprint for building AI agents

Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — ...
SiliconANGLE

Startup aiOla strives to fix AI speech recognition woes with dynamic routing

Artificial intelligence startup aiOla says it’s breaking new ground in its quest to develop machines that can understand human speech as well as people can. Today it has announced a new “Speech ...
GitHub

Graph-oriented Deep Reinforcement Learning Approach for Vehicle Routing Problems

Abstract: Deep reinforcement learning (DRL) has recently emerged as a compelling approach for tackling vehicle routing problems (VRPs). However, existing DRL-based methods typically rely on standard ...
IEEE

Dynamic Flow Routing and Scheduling for Time-Critical Network Services

Abstract: A key challenge in next-generation networks is providing intelligent network services to support time-sensitive applications such as AR/VR and the Internet of Military Things (IoMT). This ...
AlphaGalileo

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, ...
GitHub

Financial Dynamic Knowledge Graph

financial-dynamic-knowledge-graph/ ├── main.py # Main training script ├── report.md # Full project report (blog post format) ├── requirements.txt # Python dependencies │ ├── src/ │ ├── models/ │ │ ├── ...
IEEE

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6 G Networks

Abstract: The increase of bandwidth-intensive applications in sixth-generation (6 G) wireless networks, such as real-time volumetric streaming, and multi-sensory extended reality, demands intelligent ...