Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the ...

A research team led by SUTD proposes a quantum-enhanced framework for processing complex topological signals that could one ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

“ORNL is leading the AI frontier in science,” Potok concluded. “We are using AI to simulate, predict and accelerate scientific breakthroughs. ORNL’s innovations in high-performance computing and ...

With China's economic growth and industrial upgrading, the demand for electricity has increased greatly, posing challenges to the stable operation of the power system. Power load forecasting is a core ...

Data stream clustering is a critical operation in various real-world applications, ranging from the Internet of Things (IoT) to social media and financial systems. Existing data stream clustering ...