Deep Learning: The power and promise of Computers that learn by example

Abstract: Much of current Machine learning (ML) research has lost its connection to problems of important to the larger world of science and society and there exist glaring limitations in research. Conventional machine-learning techniques were limited in their ability to process natural data in their raw form. Deep learning, a new wave of machine learning research can both push forward its technical capabilities, while addressing areas of societal interest. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics, sequential data such as text and speech. The aim is to inspire ongoing discussion and focus on Deep learning that matters.