Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...
Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...
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