Council Post: How The Future Of Deep Learning Could Resemble The Human Brain

Dr. Eli David is a leading AI expert specializing in deep learning and evolutionary computation. He is the Co-Founder of DeepCube. Over the last several years, deep learning -- a subset of machine learning in which artificial neural networks imitate the inner workings of the human brain to process data, create patterns and inform decision-making -- has been responsible for significant advancements in the field of artificial intelligence. Building on what is possible with the human brain, deep learning is now capable of unsupervised learning from data that is unstructured or unlabeled. This data, often referred to as big data, can be drawn from various sources such as social media, internet history and e-commerce platforms, among others.