Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
Semiconductor Engineering

Benefits And Limits Of Using ML For Materials Discovery

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
AlphaGalileo

Deep learning unlocks fast, non-destructive monitoring of lettuce pigments

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
Fox News

USPS worker found dead inside mailing machine in Michigan: 'Deeply saddened by the loss'

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...
IEEE

A Unified Comparison of Tabular and Graph-Based Feature Representations in Machine Learning for Malware Detection

Abstract: Feature representation is a key factor in machine learning-based malware detection, affecting the information expressed and used for detection, the choice of the classifier, and ...
TDWI

A Beginner’s Guide to Feature Engineering in Machine Learning

Feature engineering transforms raw data into the specific inputs that machine learning models need to make accurate predictions. Learn how this crucial process can make the difference between a ...
IEEE

HMM-Based Feature Extraction and Machine Learning Methods for Event Detection and Classification in Microgrids

Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...
Frontiers

A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology: a cohort study

Introduction: Middle-aged and older adults are highly susceptible to depression. For this reason, early identification and intervention can substantially reduce its prevalence. This study innovatively ...