AI technology has developed fast in the last three years, driven by the introduction of GPU chip architectures and advanced Machine Learning / Deep Learning algorithms. Our New Report looks at how the combination of these two developments have allowed data to be processed at much higher speeds and given computers the ability to learn without being explicitly programmed. Machine learning is a subset of AI encompassing a range of algorithms to enable a trend or pattern recognition over time. It can be supervised, i.e. with expert training, or unsupervised, with no inputs from humans. Deep learning is a subset of machine learning and has applications in today’s world, from speech recognition to image recognition and even biomedical informatics. In general, one can think of it as a cascade, many layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. Deep learning when […]