Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...

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 ...

Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

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 ...

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 ...

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 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 ...