Total Retail

Rethinking Segmentation for a More Fluid Consumer Reality

Models built on fixed demographic inputs are increasingly misaligned with how consumers behave across different moments. To ...
Nature

Microstructure segmentation with deep learning encoders pre-trained on a large microscopy dataset

Establishing processing-structure-property relationships is critical to the design and improvement of materials. Microscopy image segmentation is often the first and hardest step in quantifying ...
Nature

Segmentation of liver CT images based on weighted medical transformer model

Deep convolutional neural networks have made significant strides in the field of medical image segmentation. Although existing convolutional structures enhance performance by leveraging local image ...
InfoQ

Meta AI Introduces the Segment Anything Model, a Game-Changing Model for Object Segmentation

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
SiliconANGLE

Meta Platforms releases Segment Anything Model to accelerate computer vision research

Artificial intelligence researchers at Meta Platforms Inc. said today that they’re hoping to democratize a key aspect of computer vision. It’s known as “segmentation,” which refers to the ability to ...
Supply Chain Management Review

Managing product variety: Supply chain segmentation for food and beverage retailers

Editor’s Note: The SCM thesis Enhancing Supply Chain Operating Models Through Segmentation was authored by Ibrahim AlArfaj and Yalcin Arslan and supervised by Dr. Özden Tozanlı. For more information ...