Self-Supervised Learning Market Overview: Self-supervised learning is a machine learning technique that uses unsupervised learning for tasks that conventionally require supervised learning. It generates implicit labels from unstructured data, making it particularly useful in fields like computer vision and natural language processing (NLP) that require large amounts of labeled data to train AI...