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% ...

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.

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 ...

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