These systems focus on improving forecast accuracy, efficiency, and extreme weather handling through advanced machine ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

In contrast to existing traffic prediction models, large language models (LLMs) progress mainly through parameter expansion and extensive pre-training while maintaining their fundamental structures.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

The morphological diversity, referring to the variations in traffic network topologies defined in this paper, often emerges and brings difficulties in successfully transferring a pre-trained ...

Before making any Cardinals vs. Pirates picks, be sure to see the MLB predictions and betting advice from SportsLine's proven computer model.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Mets vs. Pirates odds, line, prediction, time: 2025 MLB picks, June 27 best bets from proven model SportsLine's model simulated New York Mets vs. Pittsburgh Pirates 10,000 times and revealed its ...

Several groups hope to develop artificial-intelligence models that can predict how cells behave.

To address these challenges, we propose AffiGrapher, a physics-driven graph neural network that integrates a physics-informed graph architecture with contrastive learning. Incorporating multiple RNA ...