This article explores the future of deep learning and its impact on the field of artificial intelligence. It discusses the exponential growth in model size, the use of pre-trained models and transfer learning, the importance of explainable AI, the rise of federated learning for privacy concerns, and the emergence of neuromorphic computing.
