How has AI been revolutionized in recent years through deep learning? Deep learning is a subtype of machine learning that uses artificial neural networks modeled after the human brain. It has dramatically improved AI capabilities in recent years. Here's a quick overview: - Neural networks contain interconnected nodes called neurons arranged in layers. Data is fed into the input layer, passes through the hidden layers, and results come out the output layer. - The connections between nodes have numeric weights that are tuned as the network is trained on huge datasets. - Deep learning uses neural nets with many layers that can extract increasingly complex features from raw data. The more layers, the "more profound" the learning. - This enables deep learning algorithms to learn tasks like image and speech recognition, natural language processing, and prediction from experience rather than relying on rules-based programming. - GPUs provide the massive parallel processing po...