The exponential growth of online platforms has made sentiment analysis and fake news detection two of the most critical challenges in the era of Big Data.

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Discover how Google Earth AI integrates diverse datasets to solve complex challenges, from natural disasters to public health ...

Abstract: Modern data-intensive applications demand efficient orchestration across heterogeneous storage tiers, ranging from high-performance DRAM to cost-effective cloud storage. Existing tiered ...

Abstract: In a world where Machine Learning (ML) is increasingly used to make predictions about critical events, such as health outcomes, it is crucial to ensure decision-makers have access to ...

Objective: This study aimed to develop and validate a predictive model for metabolic syndrome using noninvasive body composition data. Additionally, we evaluated the model’s ability to predict ...

Understanding why the journey toward digitalization and AI-driven reliability begins with data integrity and matures through awareness, predictability and optimization. Move from manual to automated ...

Based in Mountain View, California, Groq’s business focuses on AI inference, the computing through which users interact with large language AI models. Groq produces its own specialized chips and ...

Travis Gettys is a senior editor for Raw Story based in northern Kentucky. He previously worked as a web editor for WLWT-TV and a contributing writer for the Kentucky Enquirer, and he also wrote for ...

WASHINGTON (Reuters) -The number of Americans filing new applications for unemployment benefits increased marginally during the last week of September, data from Haver Analytics showed, pointing to a ...

Investigation into crash of small jet owned by Mötley Crüe’s Vince Neil prompts urgent NTSB recommendation Opinion: Gen X may be the first to need a universal basic income after late-career job loss ...