A comparative analysis of collaborative filtering and deep learning models for creating highly personalized product recommendations.
A comparative analysis of collaborative filtering and deep learning models for creating highly personalized product recommendations.
An overview of federated learning techniques that allow machine learning models to be trained on decentralized data without compromising user privacy.
Examining the use of distributed ledger technology to enhance transparency, traceability, and efficiency in global supply chains.
A study on user experience and new interaction paradigms within immersive virtual reality environments for training and collaboration.
This paper explores the integration of AIOps in continuous integration and continuous delivery pipelines to automate monitoring and incident response.
An analysis of how quantum computing threatens current encryption standards and a review of emerging quantum-resistant algorithms.