A major AI training data set contains millions of examples of personal data Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used ...

The president disputes reporting from The Wall Street Journal that he drew a picture for Jeffrey Epstein, but as a real estate mogul, he often sketched for charity.

A large dataset, it's like 3,000 examples or more, depending on the context, on the product. That big dataset is more for training and validation and fine-tuning. First, we create our datasets.

Larasati, A., DeYong, C. and Slevitch, L. (2011) Comparing Neural Network and Ordinal Logistic Regression to Analyze Attitude Responses. Service Science, 3, 304-312.

Abstract Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

The effects and risks of the use of intravenous thrombolysis between 4.5 and 24 hours after the onset of a posterior circulation ischemic stroke are not well studied.

Technology How ProPublica Uses AI Responsibly in Its Investigations When our reporters prompted a large language model to help identify “woke” themes in a database of grants, AI helped them ...

This paper proposes a novel approach for image ordinal estimation, leveraging the power of Optimal Transport (OT) and prompt learning. Traditional ordinal regression methods primarily focus on ...

From the early days of mechanical automatons to more recent conversational bots, scientists and engineers have dreamed of a future where AI systems can work and act intelligently and independently ...