Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning ...

Key takeaways: The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% ...

Traveling time forecasting, the core component in GPS navigation systems and taxi-hailing apps, has attracted widespread attention. Existing research mostly focuses on independent points like traffic ...

In the AI era, pure data-driven meteorological and climate models are gradually catching up with, and even surpassing, traditional numerical models. However, significant challenges persist in current ...

The strategic integration combines Cognite’s Industrial Knowledge Graph and AI agents with NVIDIA’s time-series AI model to drive operational efficiency and predictive accuracy at scale.

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, ...