David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Organizations still running agentic pilots on top of legacy warehouses are behind on the infrastructure required to make AI ...

Background In 2023, the WHO recommended prioritising treatment for moderately wasted children with higher risk ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Also highlighting the civilian casualties of the first 40 days of the US-Iran war, why carbon capture won’t solve climate ...

Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...

Background Sociodemographic inequalities impact patients with non-small cell lung cancer (NSCLC). Advances in novel ...

Moving beyond manual debugging, Self-Harness empowers AI agents to test, evaluate, and rewrite the very logic that governs their behavior.