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 ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

When AI operates on outdated information, the consequences can be serious, especially in healthcare.

The surge in the data centers' water use comes as Texas endures prolonged drought, with about a quarter of the state still experiencing dry conditions despite intermittent heavy rain and flooding.

Conclusion: Real-Time Metadata Matters NFC relay and ghost tap attacks underscore that fraud prevention must look beyond surface transaction data.

Now, developers can access real-time, context-aware data on-chain. It opens up use cases such as tokenized stock trading and synthetic ETFs with institutional reliability.

AI tools like Grok and ChatGPT are changing how traders approach crypto day trading, spotting sentiment shifts in real time and turning them into structured trade plans.