A Chinese research team has built an artificial intelligence system that never touched real-world data, yet still runs on some of the most advanced Nvidia hardware available to the country. By ...

AI models are rapidly improving in rare languages through shared learning patterns ...

Traditionally, AI progress was constrained by one thing above all else: access to data. Not enough volume. Not enough diversity. Not enough coverage of edge cases. That constraint is disappearing.

Enterprise AI deployment increasingly operates under strict governance constraints, where privacy regulation, data provenance ...

Nvidia has released a synthetic dataset of Singapore personas to help local developers build artificial intelligence (AI) models that better reflect the city-state’s cultural and linguistic diversity.

Anthropic’s new AI model has taught itself to hack into software infrastructure systems believed to be among the most secure ...

Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended to govern those capabilities are struggling to keep pace. AI company OpenAI ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

For Lebrat, it goes back to simplicity of use: the synthetic persona leverages the data a team already has. Synthetic ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...