Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...

It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

The most consequential question in AI today is not which model is smartest. It is where the data lives, and whether the ...

The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks. One of the most pressing issues is model collapse, ...

Uptime Institute predicts the data center industry in 2025 will face pressure over resource consumption, grid integration challenges, and AI infrastructure requirements. Data centers this year will ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

AI's struggle with continuous learning reveals a critical gap between artificial and human cognitive processes.

Mistral AI launches Vibe, expands into industrial AI and details a data center push as the French startup ramps up its challenge to OpenAI.

OpenAI’s development of the Orion model or ChatGPT-5, potentially replacing GPT-4, faces challenges in improvement speed and effectiveness it seems, raising questions about AI scaling laws and future ...