Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

A machine learning-based approach for multi-class intrusion detection and classification in IoT using CICIoT2023 dataset

Abstract: The Internet of Things (IoT) is a set of physical devices connected to the Internet that collect information from the operating environment and share it with users or other devices. One of ...
IEEE

Leveraging Machine Learning and NLP for Adaptive Education Systems: A Personalized Approach for Children

We present a cutting-edge AI-enabled adaptive learning system for children's education, leveraging NLP and ML approaches for a personalized, scalable experience. The system uses modern ...
Frontiers

Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports

Objective: An estimated 15 million people are affected by depression and anxiety in Pakistan. However, there are relatively few government mental health facilities and certified psychiatrists. This ...
GitHub

google-fact-check-api

AI-powered fake news detector with 3-tier verification: Google Fact Check API → Wikipedia → ML ensemble (90% accuracy). 4 models: Naive Bayes, Logistic Regression, Random Forest, SVM. NLP pipeline ...