Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

AI boosts bird sound identification accuracy

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...
MIT Technology Review

Reflections on glass

From eyeglasses to wine glasses, microscopes to telescopes, products made with glass allow us to see and enjoy the world ...
EurekAlert!

Metallic glass discovery using AI-guided graph learning from Wikipedia data

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover new metallic glasses (MG). By combining element embeddings learned from ...
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
housedigest

What Kind Of Brackets Should You Use For Glass Floating Shelves?

We may receive a commission on purchases made from links. Glass shelves might be the best style of floating shelf for your space, instantly adding a sense of openness while also showcasing your ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.