Recently, spoken language models (SLMs) have been highlighted as next-generation technology that surpasses the limitations of ...

AI introduces a dynamic, context-aware, and data-driven approach to capital allocation. Using machine learning algorithms, ...

The prediction of loan defaults is crucial for banks and financial institutions due to its impact on earnings, and it also plays a significant role in shaping credit scores. This task is a challenging ...

These waves are at least twice as tall as the surrounding waves. They’re unpredictable. They can come from unexpected ...

Anti-infective discovery is evolving with AI and robotics – learn how UK researchers aim to cut development time and improve ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

In performance tests, RANK achieved a dramatic 99.56% reduction in alerts requiring human review using the DARPA TC dataset, and a 95% reduction on real enterprise datasets. These results underscore ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

By training the algorithm directly on long-read sequencing data from cancer samples, we created a new method that can tell the difference between true cancer-related genomic alterations and ...

Rice University. "Light-based data made clearer with new machine learning method." ScienceDaily. ScienceDaily, 28 April 2025. <www.sciencedaily.com / releases / 2025 / 04 / 250428220611.htm>.

The chosen model was XGBoost, a gradient boosting ensemble learning method with high efficiency, flexibility, explainability, and an ability to handle missing values. 22 XGBoost has been used in many ...