Artificial Intelligence (AI) and Machine Learning (ML) continue to evolve, pushing the boundaries of what technology can achieve. The most transformative areas include Transfer Learning, Domain Adaptation and Generalization, Quantization of Deep Models, Semi-supervised Learning, Few-shot Learning, Zero-shot Learning, Open Vocabulary Learning, Continual Learning, and Sample Efficient Reinforcement Learning (RL). These cutting-edge methodologies not only … Continue reading The Future of AI: Exploring Transfer Learning, Domain Adaptation, Quantization, and Beyond