Elektroniknet

Instead of 2 Days: AI Analyzes Complete Brain MRIs in 3 Seconds

An AI model from Michigan analyzes MRI studies with over 30 sequences in just three seconds on a single GPU – as accurate as ...
Scientific Research Publishing

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications ()

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
TechCrunch

Google debuts a new Gemini-based text embedding model

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical ...
C&EN

EC2Vec: A Machine Learning Method to Embed Enzyme Commission (EC) Numbers into Vector Representations

Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States Center for Computation and Technology, Louisiana State University, Baton Rouge, ...
GitHub

AEGAE: Attribute-Embedded Graph Autoencoder

This repository provides the implementation of the AEGAE method for community detection in attributed graphs. AEGAE integrates Laplacian regularization and a graph autoencoder to generate robust node ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
IEEE

Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification

Impact Statement: Considering feature correlation learning, we introduce knowledge distillation into multi-label learning, and propose a Target Embedding AutoEncoder model based on Knowledge ...
Frontiers

Text clustering based on pre-trained models and autoencoders

School of Artificial Intelligence and Big Data, Hefei University, Hefei, Anhui, China Text clustering is the task of grouping text data based on similarity, and it holds particular importance in the ...
Semiconductor Engineering

Considerations For Accelerating On-Device Stable Diffusion Models

One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, ...