A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

After joining the Freeman Lab, Alshammari began studying clustering, a machine-learning technique that classifies images ... could be used to boost the accuracy of clustering algorithms.

A new opinion piece published in the Proceedings of the National Academy of Sciences suggests that commercial satellite image ...

A new method creates “fake” electron tomography images to train AI, reducing manual work and overcoming existing issues with ...

Selecting the right sensors and imaging components improves AI models for better decision-making in machine vision systems.

After joining the Freeman Lab, Alshammari began studying clustering, a machine-learning technique that classifies images by learning to ... contrastive learning could be used to boost the accuracy of ...

AI’s impact in Africa spans far beyond healthcare, reaching into agriculture, education, finance, and transportation. AI ...

Image-based recognition using convolutional neural networks (CNNs), especially architectures like ResNet and YOLO, dominate ...