![Auto image tagging visual explanation](/sites/default/files/styles/max_325x325/public/2024-07/auto-tagging-explanation.jpg?itok=V0zQxp75)
Auto Tagging
Image Auto Tagging technology enables automatic assignment of relevant tags or keywords to vast collections of images and videos.
Image Auto Tagging technology enables automatic assignment of relevant tags or keywords to vast collections of images and videos.
An experimentation framework that assesses how well graph neural networks (GNN) can minimize various attributed graph functions on the node domain.
Retrieval Augmented Generation (RAG) is taking LLMs to the next level in terms of grounding and data retrieval. However, The current AI landscape is likely the fastest evolving field of science in human history and only the most dedicated professionals ar...
ArkasAI Data Analyst demonstrates new horizons in cultural heritage data analysis! It leverages the data on archaeological sites and monuments in Slovenia from the Arkas 2.0 web application to offer unprecedented possibilities for data analysis that were ...
We have designed a scientific AI chatbot trained on topical scientific data. We share our experience with data pre-processing, use of different platforms, and more.
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
Machine Learning and Deep Learning models to detect anomalies using time series data.
Model able to generate a production plan for a week given a set of orders that minimizes the monetary loss .
It is a service for defect detection and defect localization in hard metal industry
EurekAD is a service for anomaly detection in Industrial time series data.
This component manages the lifecycle of AI models and monitors their performance across different deployment environments.