Despite longstanding reliance on sputum smear microscopy, culture methods, and chest X-rays, conventional TB diagnostics remain plagued by delays, inaccuracies, and resource limitations. These methods ...

Keywords: landslide, data mining, random forest, support vector machine, spatial prediction Citation: Ashraf Mohammed O, Kamal Hamaamin H, Azad J, Rasooli S and Li H (2025) Spatial prediction of ...

The computer science field has witnessed the popularity of machine learning (ML) in discriminating low achieving and high-achieving students. However, various ML methods have different performances in ...

In this study, a combination of Smooth Vector Support Machine (SSVM) and the Nguyen Widrow Back propagation algorithm is performed. For many data one of the weaknesses of the SSVM algorithm is the low ...

Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

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

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

“With rising global demand and gold prices, illegal mining is on the rise - fueling civil unrest, child labor and depriving governments of billions in revenue that could support development,” Tait ...

When evaluating vendor solutions for generative AI, it’s important to understand the core components of the supporting ...

A technical paper titled “Data-driven power modeling and monitoring via hardware performance counter tracking” was published ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

Owkin has partnered 20 healthcare institutions on a patient data mining project, ATLANTIS, across oncology, immunology/inflammation, and neurology.