Harvestmen arachnids apparently use fluorescent patterns for species recognition

A research team from Munich has identified a previously unknown communication mechanism in harvestmen. Five closely related ...
Research Snipers

AI Image Editing Technology: A Deep Dive Into the Tools Reshaping Digital Photography

Artificial intelligence continues disrupting established technology categories, and image editing represents one of the ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
MarketersMEDIA Newsroom

Abdus Sobur Receives 2025 Global Recognition Award For AI-Driven Early Cancer Detection Research

Abdus Sobur receives a 2025 Global Recognition Award for developing artificial intelligence models that support earlier ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection

Abstract: A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the ...
Scientific Research Publishing

Kiranyaz, S., Ince, T. and Gabbouj, M. (2014) Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition. Springer.

ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...
Frontiers

Predicting visual acuity of treated ocular trauma based on pattern visual evoked potentials by machine learning models

Purpose: To develop effective machine learning models that analyze pattern visual evoked potentials (PVEPs) to predict the stabilized visual acuity (VA) of patients with treated ocular trauma. Methods ...
Frontiers

Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...