Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting and enhance risk assessment.

Oil-Dri Corporation of America ODC continues to demonstrate resilience amid a challenging operating backdrop, outperforming both its industry peers and the broader market over the past year. While ...

ABSTRACT: Lake Victoria, the largest freshwater lake in Africa and a vital resource for over 45 million people across Kenya, Uganda, and Tanzania, is experiencing escalating environmental degradation ...

Hi, thank you for the great scPred model implementation! I have a question regarding the input normalization step during model training and prediction. In the training script, standardization is done ...

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, ...

Large language models have shown improved accuracy in phenotype term normalization tasks when augmented with retrievers that suggest candidate normalizations based on term definitions. In this work, ...

MIAMI, FL / ACCESSWIRE / January 7, 2025 / Telomir Pharmaceuticals, Inc. (NASDAQ:TELO) ("Telomir"), an emerging leader in age-reversal science focused on treating the root causes of diseases rather ...

At the core of Narrative's approach is a "collaboration-first" philosophy. Users can now access a broad range of datasets—from proprietary and partner sources to publicly available and marketplace ...