The bottom-up method, on the other hand, starts with existing data sources and systems, concentrating on specific details and progressively developing into a complete data model. Aligning the choice ...

Integrating historical data and physics-based analysis are both important to identifying cracking and system fatigue ...

The machine learning model predicted stroke with 84% accuracy. It was also highly sensitive, outperforming existing diagnostic models, which tend to miss up to 30% of strokes.

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 ...

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. The new ...

Autodesk, with the release of the AEC Data Model API, is opening up its files and associated data formats to a more granular level of data sharing—allowing the underlying data that makes up a 3D ...

Bloomberg Professional Services Introducing BloombergGPT, Bloomberg’s 50-billion parameter large language model, purpose-built from scratch for finance March 30, 2023 ...