Abstract: This survey reviews how large language models (LLMs) are transforming synthetic training data generation in both natural language and code domains. By producing artificial but task-relevant ...

Cambridge startup Worldmodeldata has raised a £7m seed led by Iona Star Capital to turn licensed video-game data into training sets for AI world models.

It's Happening: Data Center Construction Now Draw More Money Than the Government Spends on Transportation ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Expanded Data Integration Hopsworks 5.0 introduces a significantly expanded set of data sources alongside two new ways to work with external data: mounting external tables without copying data, and ...

Hyperscalers want their data centers online and utilities want to provide interconnections, but experts say both are still ...

Abstract: With the development of modern cloud platforms, an increasing number of users are migrating their data analysis tasks to the cloud. Cloud platforms offer a “pay-as-you-go” model, prompting ...

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...