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Research & Development
Boosting Credit Card Fraud Detection with Hybrid Machine Learning Techniques
TLDR: A research paper by Iva Popova and Hamza A. A. Gardi evaluates five machine learning models (Logistic Regression, Random Forest, XGBoost, K-Nearest Neighbors,...
Research & Development
Unlocking Demining Knowledge: How AI Transforms Unstructured Reports into Actionable Insights
TLDR: TextMine is an AI-powered system that uses Large Language Models and a specialized ontology to extract structured knowledge from unstructured humanitarian mine action...
Research & Development
Enhancing Vision Models with Human Perceptual Illusions
TLDR: Researchers have developed a novel method to improve deep learning vision models by incorporating geometric visual illusions into their training. By creating a...
Research & Development
TITAN: Optimizing Quantum Simulations by Freezing Inactive Parameters in VQE
TLDR: TITAN is a deep learning framework designed to improve the efficiency of Variational Quantum Eigensolver (VQE) for large-scale quantum chemistry and materials simulations....
Research & Development
Improving Database Queries with Enhanced Language Understanding
TLDR: DeKeyNLU is a new dataset of 1,500 annotated question-SQL pairs designed to improve how AI models break down tasks and extract keywords from...
Research & Development
Dynamic Workflows for AI Agents: A Proactive Approach to Task Solving
TLDR: PriorDynaFlow (PDF) is a new framework that enables multi-agent AI systems to dynamically construct workflows for complex tasks. It uses Q-learning to guide...