First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The world moves, behaviors shift, economies cycle and disease patterns evolve. If synthetic distributions are not updated in response to lived reality, the system begins to model a world that no longer exists.

The new AI chips are packaged inside the new Nvidia Rubin Platform. The new line of open models includes a model for autonomous vehicles.

The industry’s answer? Synthetic data. “Recently in the industry, synthetic data has been talked about a lot,” said Sebastien Bubeck, a member of technical staff at OpenAI, in the company’s livestreamed release of GPT-5 last week. Bubeck stressed ...

Alibaba’s Qwen team of AI researchers — already having a banner year with numerous powerful open source AI model releases — is now answering with its own alternative, Qwen-Image-2512, once again available freely for developers and even large enterprises for commercial purposes under a standard, permissive Apache 2.0 license.

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential. Synthetic data refers to artificially generated ...

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital systems shape real-world outcomes.