Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

This course is available on the MSc in Data Science, MSc in Geographic Data Science, MSc in Health Data Science, MSc in Operations Research & Analytics, MSc in Quantitative Methods for Risk Management ...

The core of this research lies in the combination of Graph Neural Networks (GNN) and Reinforcement Learning to achieve coordinated control of up to eight robotic arms, enabling efficient and collision ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...

The core of quantum network research lies in efficiently and reliably establishing entanglement between nodes; however, the challenges of maintaining fragile quantum states are far more complex than ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Coursera, Inc. (NYSE: COUR), a leading global online learning platform, today announced the launch of Skill Tracks, a data-backed learning solution mapped to specific occupations that guides learners ...

The top ten AI coins in terms of market capitalization in 2025 ( as per CoinGecko) are: The NEAR coin powers the AI-native ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...