While most shoppers are still using the traditional one or two keywords for an online search, longer, more complex queries ...

As iOS 26 is rolling out to all users, developers have been updating their apps to include features powered by Apple's local ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...

Enterprises today are moving beyond simple proof-of-concept chatbots. Modern AI systems need to be reliable, always available, and smart enough to handle complex conversations, policies, and ...

EQL offers equal-weight exposure across all 11 GICS sectors, reducing tech risk but lagging SPY and active peers. Learn why ...

Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

Abstract: Anomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social ...

Police in Spain have reportedly started profiling people based on their phones; specifically, and surprisingly, those carrying Google Pixel devices. Law enforcement officials in Catalonia say they ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

cuDNN version: Probably one of the following: /usr/lib/x86_64-linux-gnu/libcudnn.so.9.0.0 /usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.0.0 /usr/lib/x86_64-linux-gnu ...