IEEE

Towards Maximizing Semantic Coverage for Image-Text Retrieval

Abstract: To establish semantic associations between images and texts, existing Image-Text Retrieval (ITR) methods primarily focus on fixed-scale fragments, which only identify explicit semantic ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
IEEE

Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation

Abstract: Given a language expression, referring remote sensing image segmentation (RRSIS) aims to identify ground objects and assign pixelwise labels within the imagery. One of the key challenges for ...
The Washington Post

Inside an AI start-up’s plan to scan and dispose of millions of books

In early 2024, executives at artificial intelligence start-up Anthropic ramped up an ambitious project they sought to keep quiet. “Project Panama is our effort to destructively scan all the books in ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...