Pollen from 18,000 tropical plants was digitized in Panama. The images will be used to train a machine-learning model to ...

An image classification data science project could involve building a deep learning model to classify images into different categories based on their visual features.

10 ways machine learning projects fail AI hallucinations Model bias Legal and ethical risks Poor data quality Model overfitting and underfitting Legacy system integration issues Performance and ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...