Google released its first Gemma 3 open models earlier this year, featuring between 1 billion and 27 billion parameters. In ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Big tech companies — and startups — are increasingly using synthetic data to train their AI models. But there's risks to this strategy.

AI’s data collection practices are immature compared with the sophistication of AI model development. Massive data sets often lack clear information about what is in them and where it came from.

From automated insights powered by GenerativeAI to the rise of synthetic data and edge computing, these trends will create both unprecedented opportunities and challenges ...

The rise of AI 'reasoning' models is making benchmarking more expensive, data from Artificial Analysis shows.

Why extracting data from PDFs is still a nightmare for data experts Countless digital documents hold valuable info, and the AI industry is attempting to set it free.