Developed the machine learning algorithm E2T and its software for learning to learn for extrapolative prediction.Achieved ...

The El Niño phenomenon in the South Atlantic and Benguela current, which flows along the west coast of southern Africa, have ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Researchers from the Leibniz Centre for Agricultural Landscape Research (ZALF ... have developed a new framework that significantly improves landslide prediction using machine learning methods.

This work developed a new deep learning framework, MULGONET, to predict cancer recurrence and identify key biomarkers by integrating multi omics data (such as mRNA, DNA methylation, copy number ...

The framework proposed by the authors integrates uncertainty-aware mechanisms at multiple stages of the LLM lifecycle. It ...

A new study confirms that plasma p-tau181 levels can identify subjective cognitive decline (SCD) as a distinct early stage of ...

Six years after interviewing Father of Modern AI, this article revisits his bold AI predictions to show what came true and what business leaders should understand now.

Leonard MD Research Scholar in Hematology and Medical ... resulted in better clinical response predictions than models that used gene expression or imaging alone. "On a scale of 0 to 1, where ...

If you're scanning the market for the Top 10 cryptos to buy, April 2025 might just hand you a jackpot with projects shaking ...