Meta launches image generation model with coding, search capabilities

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
Communications of the ACM

Can We Understand How Large Language Models Reason?

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
Meta - About Facebook

Introducing Muse Image: Image Generation Built for Your World

Transform the subject from the input image into appealing claymation character, keep likeness. Handmade plasticine style, ...

Meta enters AI image model race in bid to court advertisers and subscribers

Meta has announced Muse Image, its first AI model for image creation, as it seeks to attract creators and advertisers to its ...
The New York Times

Meta Unveils an A.I. Image Generator

Muse Image, which can create realistic images for users on Instagram and WhatsApp, is the company’s latest attempt to catch up in the global artificial intelligence race. By Eli Tan Reporting from San ...
News-Medical.Net

AI model identifies where snoring starts in the airway

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
IEEE

GrI-CNN: Granulated Deep Learning Model With Interpretable Architecture for Remote Sensing Image Classification

Abstract: Convolutional neural networks (CNNs) are highly effective deep learning architectures for remote sensing (RS) image classification. However, the interpretability of CNN architecture remains ...
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

IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals

Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...