Biology-inspired brain model matches animal learning and reveals overlooked neuron activity

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Healio

AI models using OCT data accurately predicted glaucoma progression

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

An AI-based blueprint for designing catalysts across materials

Hydrogen peroxide is widely used in everyday life, from disinfectants and medical sterilization to environmental cleanup and ...
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 Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
The Herald-Palladium

South Haven High School principal shares her passion for learning

SOUTH HAVEN — From college basketball and military service to classroom teaching and district leadership, South Haven High School principal Amy Cockburn has taken an unconventional path to education.
IEEE

A Comparative Study of Machine Learning Models for Cardiovascular Risk Prediction Using PCA-Transformed Framingham Data

Abstract: Cardiovascular disease (CVD) remains the leading cause of mortality globally, highlighting the urgent need for effective early detection systems. Supervised machine learning algorithms, such ...
CNX Software

ESP32-Stick-PoE-A-Cam – An ESP32-S3 camera board with active PoE, machine learning examples

The ESP32-Stick-PoE-A-Cam(N16R8) is an open-source ESP32-S3 development board with Ethernet, camera, and active PoE support designed for machine learning applications. Compared to similar boards like ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
IEEE

A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders

Abstract: Cyberattacks, especially data injection attacks, are becoming more common as smart grids are increasingly interconnected. In addition, accurate and unbiased high-quality data is required for ...