As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...
Artificial intelligence (AI) systems are now widely used by millions of people worldwide, as tools to source information or ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to probabilistic, generative, and self-learning systems. AI-driven DQ frameworks ...
Results: Coherence scores indicated an optimal topic solution of k=40 (coherence=0.58) for English and k=30 (coherence=0.52) for Spanish. Thematically, we observed similar content in both languages, ...
OpenAI may have called GPT-5.2 its "most advanced frontier model for professional work," but tests conducted by the Guardian cast doubt on its credibility. According to the report, OpenAI's GPT-5.2 ...
Abstract: This research examines the use of BERTopic for topic modeling in Indonesian news articles sourced from seven prominent media outlets. A customized preprocessing pipeline was developed to ...
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