New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.

Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

As open-weight models catch up on leaderboards and benchmark reports, one of the biggest considerations is how to manage AI ...

Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...

Discover how input-output analysis reveals the interdependence of industries and their impact on a nation's economy, focusing ...

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Keywords: Dynamic analyses. Models. Friction pendulum bearings. Multi-spherical sliding bearings. Hysteresis. Seismic isolation systems. Shaking table tests. Seismic performance. Abstract: This report ...

In February 2019, Siemens EDA wrote an article 1 entitled “The Time Is Now for a Common Model Interface”. Since that time, we have continued to see increasing demand for aging analysis, not only in ...