Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Even before its full science operations have begun, the Vera C. Rubin Observatory in Chile has already helped astronomers find something remarkable. The observatory's first images, revealed in June, ...

There are over a thousand planned or existing data centers across the US, according to a BI investigation. Major tech companies are racing to construct even more as the AI boom continues. But at what ...

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

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 ...

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...

Abstract: Graphs serve as an essential data structure to model complex relationships in a variety of applications, such as social networks, web graphs, and chemical informatics. Due to the high cost ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...