Date: July 4, 2025
Authors: Dr. A. Sharma, Prof. K. Patel
This report presents recent advancements in artificial intelligence and machine learning, focusing on deep learning models, interpretability techniques, and applications in healthcare and finance.
Artificial Intelligence (AI) and Machine Learning (ML) have shown exponential progress in recent years. New model architectures, training methods, and computational resources have enabled breakthroughs in language understanding, vision tasks, and scientific discovery.
We used transformer-based models for text and image processing, trained on curated datasets with extensive preprocessing and hyperparameter tuning.
The experiments achieved 92.5% accuracy on benchmark datasets with significant performance gains over baseline methods.
Our findings validate the effectiveness of modern deep learning techniques across multiple domains. Further research will explore efficiency and explainability improvements.
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