Tokenization is emerging as a cornerstone of modern data security, helping businesses separate the value of their data from ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through ...

Amazon Bedrock and Amazon SageMaker AI put advanced model customization into the hands of any developer, while reducing costs ...

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Using multiple modelling approaches to explore a particular causal pathway helps to compare results ...

If you were trying to learn how to get other people to do what you want, you might use some of the techniques found in a book like Influence: The Power of Persuasion. Now, a preprint study out of the ...

If you were trying to learn how to get other people to do what you want, you might use some of the techniques found in a book like Influence: The Power of Persuasion. Now, a pre-print study out of the ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

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.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Copyright: © 2025 The Authors. Published by Elsevier Ltd. Infectious disease modelling (IDM) is a useful tool supporting evidence to inform policies on disease ...