InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

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.
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

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 ...

Content scoring tools work, but only for the first gate in Google’s pipeline

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

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

From Microbial Signatures to Clinical Tools: Analytical Pipelines and Multi-Omics Prediction of Treatment Response in IBD

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

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
GitHub

Celesca/fraud-transaction-detection

scb-fraud-detection/ ├── 1_Exploratory_Data_Analysis_EDA.ipynb # Data exploration and visualization ├── 2_Model_Training.ipynb # Model training and evaluation ├── requirements.txt # Python ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

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 ...
Yahoo! Sports

Nikola Topic takes big step closer to joining Thunder

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 ...
Journal of Medical Internet Research

Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit

This study uses keyword filtering, a transformer-based algorithm, and inductive content coding to identify and characterize cannabis adverse experiences as discussed on the social media platform ...
IEEE

Derived Topic Propagation Model Based on Topic Relevance and User Sentiment

Abstract: The spread of hot original topics gives rise to a variety of derivative topics, and studying the spread of these derivative topics on social networks has become a key task in social network ...
IEEE

From Play to Pedagogy: A Structured Topic Modeling Analysis of Escape Rooms Research

Abstract: Escape rooms have evolved from recreational activities to engaging educational tools, combining storytelling, puzzlesolving, and teamwork. Despite their popularity, research on escape rooms ...