Oxylabs explores how fresh web data infrastructure helps AI systems reduce hallucinations and deliver accurate real-world ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...

Researchers hope to adapt a successful Hong Kong injury-prediction model using the Horseracing Integrity and Safety Authority ...

Financial services firms can build protections into their contracts with suppliers to address risks that attach to the ...

This approach would address outputs, not inputs, looking to prevent and mitigate specific harms rather than micromanaging the ...

Reddit Jen Wong on AI data licensing deals and what it takes to stop bad actors from gaming its forums to sway AI results.

Google Search is evolving from a results page into a continuous AI training pipeline powered by user behavior. This shift ...