Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

The major LLMs today are legal landmines, providing no visibility into training data that may violate copyrights, patents, ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Chennai-based tech firm announces Zia LLM trained on business use cases, with focus on privacy and Indian compliance tools ...

Meta’s Video Joint Embedding Predictive Architecture 2 (V-JEPA 2) is a significant advancement in Artificial Intelligence (AI ...