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Research & Development
Advancing Quranic Recitation Assessment with Deep Learning
TLDR: This research introduces a deep learning system for automatically detecting and correcting pronunciation errors in Holy Quran recitation. It features a 98% automated...
Research & Development
Unlocking Deeper Insights in ECG AI: A Multi-Layer Approach
TLDR: This research introduces a novel approach to improve Electrocardiogram (ECG) analysis using Transformer-based foundation models. It challenges the common practice of using only...
Research & Development
Large Language Models Transform Chemical Experiment Optimization
TLDR: This paper introduces LLM-guided optimization (LLM-GO) for chemical reactions, demonstrating that large language models (LLMs) outperform traditional Bayesian optimization (BO) in complex single-objective...
Research & Development
CoComposer: Collaborative AI Agents Elevate Music Composition
TLDR: CoComposer is a multi-agent AI system designed to overcome limitations in existing AI music composition tools. It uses five specialized LLM agents (Leader,...
Research & Development
Unlocking the Logic: A New Framework for Explaining LLM Chain-of-Thought Reasoning
TLDR: This research introduces a state-aware transition framework to explain Chain-of-Thought (CoT) reasoning in Large Language Models (LLMs). It abstracts CoT trajectories by representing...
Research & Development
CUFL: Guiding Personalized Graph Learning in Federated Environments
TLDR: CUFL (Curriculum guided personalized sUbgraph Federated Learning) is a new framework designed to improve Graph Neural Network (GNN) training in federated learning settings,...