Xuanrui Zhang Advances Financial Security Through Real-Time Machine Learning and Graph-Based Fraud Detection

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

PagePeek : AI-Powered Paper Evaluation and Quality Assessment Transforming Interdisciplinary Materials Science

PagePeek introduces an AI-driven framework for paper evaluation and paper quality assessment, advancing transparency, reproducibility, and ...
TMCnet

Shutterstock Builds on Data Licensing Strength with New AI Services for Model Training and Evaluation

Creative-Expert Preference Data: Shutterstock leverages professional creatives for rubric-driven aesthetic judgments that ...
KTLA

Advanced Machine Learning Model Achieves 97.97% Accuracy in Earthquake Forecasting for High-Risk Areas

Georgia Southern University researchers develop a machine learning model with 97.97% accuracy in earthquake forecasting. STATESBORO, GA, UNITED STATES, October 29 ...
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
Hosted on MSN

Machine learning improves accuracy of climate models—particularly for compound extreme events

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
Newseria BIZNES

Author Interview 'Machine Learning – Data to Decision' with Sachin Dave

BERKELEY HEIGHTS, NJ, UNITED STATES, October 1, 2025 /EINPresswire.com/ -- Introduction Sachin Dave, Associate Vice President ...
Nasdaq

NTT Researchers Advance AI and Machine Learning Accuracy, Security and Cost Effectiveness at ICML 2025

NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
Targeted Oncology

Machine Learning Model May Optimize Treatment Selection and Survival in HCC

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through personalized risk stratification.