With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

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 ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Predicting and personalizing treatment response in inflammatory bowel disease (IBD) using microbiome and multi-omics data is a major step toward precision ...

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 ...

Before he was assigned for a stint with the Blue, Topic rejoined his Thunder teammates in pregame shootaround. Then, the Thunder announced Topic was headed to the Blue ahead of his debut against the ...

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 ...