An AI model used seven common clinical measures of inflammation, nutritional status, and more to predict ALS prognosis, a ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

Abstract: With the rapid increase in integrated circuit chip frequencies, the complexity of electromagnetic interference issues and the time-consuming nature of traditional pin mapping (pinmap) design ...

Aging bridges worldwide face growing safety challenges due to extended service life and environmental stressors. However, most existing studies lack a systemic perspective and mainly rely on ...

The LandingAI Agentic Document Extraction API pulls structured data out of visually complex documents—think tables, pictures, and charts—and returns a hierarchical JSON with exact element locations.

Abstract: Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend ...

Following Week 3 of the season, Virginia Tech football has found itself in an 0-3 hole, the first time it has started the season with three straight losses since 1987. Now that ESPN's Football Power ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

The rapidly rising power demands of AI. Using data centers to build bigger data centers. Details behind Cadence's Reality Digital Twin solution to support NVIDIA's GB200-based DGX SuperPOD ...