Deep Learning

Like "big data," today's "artificial intelligence" is all about new tools and approaches for making sense of and profiting from the ever-increasing flood of data. It is the most recent stage in the steady evolution of computer technology since the late 1940s, which has been driven by the increasingly sophisticated and varied use of the key product of computers--digital data. Specifically, today's "artificial intelligence" is the latest stage in the evolution of the fruitful marriage of computer engineering and statistics, of teaching computers to learn from data, or "machine learning." What is frequently overlooked is that this has been--and will continue to be--an evolution in how humans teach machines to learn and how humans learn from automated processes to improve their work. In other words, we are witnessing today a new stage in the steady progress over the last seventy years in the scale and scope of augmented intelligence.